Kang, J.,
Yu, R.,
Huang, X.,
Zhang, Y.,
Privacy-Preserved Pseudonym Scheme for Fog Computing Supported
Internet of Vehicles,
ITS(19), No. 8, August 2018, pp. 2627-2637.
IEEE DOI
1808
Privacy, Cloud computing, Local government, Edge computing,
Safety, Internet of vehicles, fog computing,
game theory
BibRef
Hui, Y.,
Su, Z.,
Luan, T.H.,
Cai, J.,
Content in Motion: An Edge Computing Based Relay Scheme for Content
Dissemination in Urban Vehicular Networks,
ITS(20), No. 8, August 2019, pp. 3115-3128.
IEEE DOI
1908
Relays, Games, Edge computing, Incentive schemes,
Vehicular ad hoc networks, Roads, Vehicular networks,
incentive mechanism
BibRef
Liu, S.,
Liu, L.,
Tang, J.,
Yu, B.,
Wang, Y.,
Shi, W.,
Edge Computing for Autonomous Driving: Opportunities and Challenges,
PIEEE(107), No. 8, August 2019, pp. 1697-1716.
IEEE DOI
1908
Connected and autonomous vehicles (CAVs), edge computing,
heterogeneous computing, security, vehicle-to-everything (V2X),
vehicular operating system
BibRef
Cui, J.,
Wei, L.,
Zhang, J.,
Xu, Y.,
Zhong, H.,
An Efficient Message-Authentication Scheme Based on Edge Computing
for Vehicular Ad Hoc Networks,
ITS(20), No. 5, May 2019, pp. 1621-1632.
IEEE DOI
1905
Authentication, Message authentication, Edge computing,
Vehicular ad hoc networks, Cloud computing, Vehicles, VANETs,
edge computing
BibRef
Boukerche, A.,
Soto, V.,
An Efficient Mobility-Oriented Retrieval Protocol for Computation
Offloading in Vehicular Edge Multi-Access Network,
ITS(21), No. 6, June 2020, pp. 2675-2688.
IEEE DOI
2006
Task analysis, Protocols, Edge computing, Computational modeling,
Cloud computing, Performance evaluation, Reliability,
task offloading
BibRef
Boukerche, A.[Azzedine],
Soto, V.[Victor],
Computation Offloading and Retrieval for Vehicular Edge Computing:
Algorithms, Models, and Classification,
Surveys(53), No. 4, August 2020, pp. xx-yy.
DOI Link
2010
vehicular cloud, data retrieval, Computation offloading
BibRef
Secinti, G.,
Trotta, A.,
Mohanti, S.,
di Felice, M.,
Chowdhury, K.R.,
FOCUS: Fog Computing in UAS Software-Defined Mesh Networks,
ITS(21), No. 6, June 2020, pp. 2664-2674.
IEEE DOI
2006
Cloud computing, Task analysis, Routing,
Network topology, Topology, Edge computing,
heuristic algorithms
BibRef
Peng, H.,
Ye, Q.,
Shen, X.,
Spectrum Management for Multi-Access Edge Computing in Autonomous
Vehicular Networks,
ITS(21), No. 7, July 2020, pp. 3001-3012.
IEEE DOI
2007
Servers, Wireless fidelity, Radio spectrum management,
Resource management, Dynamic scheduling, Quality of service,
autonomous vehicles
BibRef
Ning, Z.,
Zhang, K.,
Wang, X.,
Guo, L.,
Hu, X.,
Huang, J.,
Hu, B.,
Kwok, R.Y.K.,
Intelligent Edge Computing in Internet of Vehicles:
A Joint Computation Offloading and Caching Solution,
ITS(22), No. 4, April 2021, pp. 2212-2225.
IEEE DOI
2104
Servers, Delays, Task analysis, Artificial intelligence, Training,
Optimization, Resource management, Internet of vehicles,
imitation learning
BibRef
Lv, Z.,
Chen, D.,
Wang, Q.,
Diversified Technologies in Internet of Vehicles Under Intelligent
Edge Computing,
ITS(22), No. 4, April 2021, pp. 2048-2059.
IEEE DOI
2104
Edge computing, Task analysis, Internet, Delays,
Intelligent vehicles, Protocols, Internet of Vehicles,
diversified technologies
BibRef
Zhao, J.,
Sun, X.,
Li, Q.,
Ma, X.,
Edge Caching and Computation Management for Real-Time Internet of
Vehicles: An Online and Distributed Approach,
ITS(22), No. 4, April 2021, pp. 2183-2197.
IEEE DOI
2104
Real-time systems, Delays, Resource management, Optimization,
Edge computing, Processor scheduling, Vehicle dynamics,
resource allocation
BibRef
Xiong, K.,
Leng, S.,
Huang, C.,
Yuen, C.,
Guan, Y.L.,
Intelligent Task Offloading for Heterogeneous V2X Communications,
ITS(22), No. 4, April 2021, pp. 2226-2238.
IEEE DOI
2104
Task analysis, Servers, Edge computing, Delays, Calculus, Upper bound,
Stochastic processes, Vehicular edge computing, DSRC, C-V2X, mmWave,
federated Q-learning
BibRef
Sonmez, C.,
Tunca, C.,
Ozgovde, A.,
Ersoy, C.,
Machine Learning-Based Workload Orchestrator for Vehicular Edge
Computing,
ITS(22), No. 4, April 2021, pp. 2239-2251.
IEEE DOI
2104
Task analysis, Edge computing,
Computational modeling, Servers, Vehicle dynamics,
machine learning
BibRef
Zhai, Y.L.[Yan-Long],
Sun, W.X.[Wen-Xin],
Wu, J.Q.[Jian-Qing],
Zhu, L.H.[Lie-Huang],
Shen, J.[Jun],
Du, X.J.[Xiao-Jiang],
Guizani, M.[Mohsen],
An Energy Aware Offloading Scheme for Interdependent Applications in
Software-Defined IoV With Fog Computing Architecture,
ITS(22), No. 6, June 2021, pp. 3813-3823.
IEEE DOI
2106
Batteries, Energy consumption, Edge computing, Cloud computing,
Vehicle dynamics, Optimization, Heuristic algorithms,
offloading
BibRef
Cao, B.[Bin],
Fan, S.S.[Shan-Shan],
Zhao, J.W.[Jian-Wei],
Tian, S.[Shan],
Zheng, Z.H.[Zi-Hao],
Yan, Y.L.[Yan-Long],
Yang, P.[Peng],
Large-Scale Many-Objective Deployment Optimization of Edge Servers,
ITS(22), No. 6, June 2021, pp. 3841-3849.
IEEE DOI
2106
Servers, Optimization, Delays, Clustering algorithms,
Evolutionary computation, Task analysis, Reliability,
edge computing (EC)
BibRef
Zeng, F.[Feng],
Chen, Q.[Qiao],
Meng, L.[Lin],
Wu, J.S.[Jin-Song],
Volunteer Assisted Collaborative Offloading and Resource Allocation
in Vehicular Edge Computing,
ITS(22), No. 6, June 2021, pp. 3247-3257.
IEEE DOI
2106
Servers, Task analysis, Edge computing, Resource management,
Quality of service, Games, Energy consumption,
offloading
BibRef
Khan, M.A.[Muhammad Awais],
Ghosh, S.[Saptarshi],
Busari, S.A.[Sherif Adeshina],
Huq, K.M.S.[Kazi Mohammed Saidul],
Dagiuklas, T.[Tasos],
Mumtaz, S.[Shahid],
Iqbal, M.[Muddesar],
Rodriguez, J.[Jonathan],
Robust, Resilient and Reliable Architecture for V2X Communications,
ITS(22), No. 7, July 2021, pp. 4414-4430.
IEEE DOI
2107
Vehicle-to-everything, Reliability,
Edge computing, Blockchain, Cloud computing, Automobiles, 5G
BibRef
Qiao, F.[Fuli],
Wu, J.[Jun],
Li, J.H.[Jian-Hua],
Bashir, A.K.[Ali Kashif],
Mumtaz, S.[Shahid],
Tariq, U.[Usman],
Trustworthy Edge Storage Orchestration in Intelligent Transportation
Systems Using Reinforcement Learning,
ITS(22), No. 7, July 2021, pp. 4443-4456.
IEEE DOI
2107
Servers, Reinforcement learning,
Transportation, Distributed databases, Edge computing,
reinforcement learning
BibRef
Wan, S.H.[Shao-Hua],
Gu, R.H.[Ren-Hao],
Umer, T.[Tariq],
Salah, K.[Khaled],
Xu, X.L.[Xiao-Long],
Toward Offloading Internet of Vehicles Applications in 5G Networks,
ITS(22), No. 7, July 2021, pp. 4151-4159.
IEEE DOI
2107
Task analysis, 5G mobile communication, Roads, Servers, Reliability,
Resource management, Internet, Computation offloading,
edge computing (EC)
BibRef
Manogaran, G.[Gunasekaran],
Saravanan, V.[Vijayalakshmi],
Hsu, C.H.[Ching-Hsien],
Information-Centric Content Management Framework for Software Defined
Internet of Vehicles Towards Application Specific Services,
ITS(22), No. 7, July 2021, pp. 4541-4549.
IEEE DOI
2107
Smoothing methods, Software, Routing,
Real-time systems, Roads, Edge computing,
traffic smoothing
BibRef
Singh, A.[Amritpal],
Aujla, G.S.[Gagangeet Singh],
Bali, R.S.[Rasmeet Singh],
Intent-Based Network for Data Dissemination in Software-Defined
Vehicular Edge Computing,
ITS(22), No. 8, August 2021, pp. 5310-5318.
IEEE DOI
2108
Tensors, Matrix converters, Data dissemination, Quality of service,
Routing, Edge computing, Convolution neural network,
higher-order singular value decomposition
BibRef
Xu, X.L.[Xiao-Long],
Zhang, X.[Xing],
Liu, X.H.[Xi-Hua],
Jiang, J.L.[Jie-Lin],
Qi, L.Y.[Lian-Yong],
Bhuiyan, M.Z.A.[Md. Zakirul Alam],
Adaptive Computation Offloading With Edge for 5G-Envisioned Internet
of Connected Vehicles,
ITS(22), No. 8, August 2021, pp. 5213-5222.
IEEE DOI
2108
Task analysis, 5G mobile communication, Resource management,
Edge computing, Delays, Information science, Internet, 5G,
multi-objective
BibRef
Liao, H.J.[Hai-Jun],
Zhou, Z.Y.[Zhen-Yu],
Kong, W.X.[Wen-Xuan],
Chen, Y.P.[Ya-Peng],
Wang, X.Y.[Xiao-Yan],
Wang, Z.Y.[Zhong-Yuan],
Otaibi, S.A.[Sattam Al],
Learning-Based Intent-Aware Task Offloading for Air-Ground Integrated
Vehicular Edge Computing,
ITS(22), No. 8, August 2021, pp. 5127-5139.
IEEE DOI
2108
Task analysis, Servers, Quality of experience,
Ultra reliable low latency communication, Delays, Optimization,
trajectory similarity
BibRef
Han, X.[Xu],
Tian, D.X.[Da-Xin],
Sheng, Z.G.[Zheng-Guo],
Duan, X.T.[Xu-Ting],
Zhou, J.S.[Jian-Shan],
Hao, W.[Wei],
Long, K.[Kejun],
Chen, M.[Min],
Leung, V.C.M.[Victor C. M.],
Reliability-Aware Joint Optimization for Cooperative Vehicular
Communication and Computing,
ITS(22), No. 8, August 2021, pp. 5437-5446.
IEEE DOI
2108
Reliability, Computational modeling, Task analysis, Privacy,
Edge computing, Cloud computing, Optimization,
dynamic programming
BibRef
Huang, X.M.[Xu-Min],
Yu, R.[Rong],
Xie, S.L.[Sheng-Li],
Zhang, Y.[Yan],
Task-Container Matching Game for Computation Offloading in Vehicular
Edge Computing and Networks,
ITS(22), No. 10, October 2021, pp. 6242-6255.
IEEE DOI
2110
Task analysis, Containers, Edge computing, Hardware, Virtualization,
Games, Servers, Containerization, vehicular edge computing (VEC),
matching theory
BibRef
Xu, X.,
Wu, Q.,
Qi, L.,
Dou, W.,
Tsai, S.B.,
Bhuiyan, M.Z.A.,
Trust-Aware Service Offloading for Video Surveillance in Edge
Computing Enabled Internet of Vehicles,
ITS(22), No. 3, March 2021, pp. 1787-1796.
IEEE DOI
2103
Task analysis, Edge computing, Video surveillance, Privacy,
Computational modeling, Streaming media, IoV, edge computing,
SPEA2
BibRef
He, Y.X.[Yi-Xin],
Zhai, D.S.[Dao-Sen],
Huang, F.H.[Fang-Hui],
Wang, D.W.[Da-Wei],
Tang, X.[Xiao],
Zhang, R.N.[Ruo-Nan],
Joint Task Offloading, Resource Allocation, and Security Assurance
for Mobile Edge Computing-Enabled UAV-Assisted VANETs,
RS(13), No. 8, 2021, pp. xx-yy.
DOI Link
2104
BibRef
Ndikumana, A.[Anselme],
Tran, N.H.[Nguyen H.],
Kim, D.H.[Do Hyeon],
Kim, K.T.[Ki Tae],
Hong, C.S.[Choong Seon],
Deep Learning Based Caching for Self-Driving Cars in Multi-Access
Edge Computing,
ITS(22), No. 5, May 2021, pp. 2862-2877.
IEEE DOI
2105
Autonomous automobiles, Automobiles, Computational modeling,
Machine learning, Servers, Delays, Predictive models,
multi-access edge computing
BibRef
Dalgkitsis, A.[Anestis],
Mekikis, P.V.[Prodromos-Vasileios],
Antonopoulos, A.[Angelos],
Verikoukis, C.[Christos],
Data Driven Service Orchestration for Vehicular Networks,
ITS(22), No. 7, July 2021, pp. 4100-4109.
IEEE DOI
2107
Servers, 5G mobile communication, Edge computing,
Quality of service, Trajectory, Prediction algorithms,
intelligent automotive
BibRef
Xu, X.L.[Xiao-Long],
Huang, Q.H.[Qi-He],
Zhu, H.B.[Hai-Bin],
Sharma, S.[Suraj],
Zhang, X.[Xuyun],
Qi, L.Y.[Lian-Yong],
Bhuiyan, M.Z.A.[Md Zakirul Alam],
Secure Service Offloading for Internet of Vehicles in SDN-Enabled
Mobile Edge Computing,
ITS(22), No. 6, June 2021, pp. 3720-3729.
IEEE DOI
2106
Privacy, Quality of experience, Resource management, Load modeling,
Edge computing, Uncertainty, Servers, SDN, IoV, edge computing,
LSH, privacy preservation
BibRef
Usman, M.[Muhammad],
Jan, M.A.[Mian Ahmad],
Jolfaei, A.[Alireza],
SPEED: A Deep Learning Assisted Privacy-Preserved Framework for
Intelligent Transportation Systems,
ITS(22), No. 7, July 2021, pp. 4376-4384.
IEEE DOI
2107
Data privacy, Redundancy,
Machine learning algorithms, Edge computing, Deep learning, CNN
BibRef
Liao, H.J.[Hai-Jun],
Mu, Y.S.[Yan-Song],
Zhou, Z.Y.[Zhen-Yu],
Sun, M.[Meng],
Wang, Z.[Zhao],
Pan, C.[Chao],
Blockchain and Learning-Based Secure and Intelligent Task Offloading
for Vehicular Fog Computing,
ITS(22), No. 7, July 2021, pp. 4051-4063.
IEEE DOI
2107
Task analysis, Delays, Edge computing, Privacy, Contracts,
Vehicular fog computing, task offloading, blockchain,
subjective logic
BibRef
Sharma, P.K.[Pradip Kumar],
Park, J.H.[Jong Hyuk],
Blockchain-Based Secure Mist Computing Network Architecture for
Intelligent Transportation Systems,
ITS(22), No. 8, August 2021, pp. 5168-5177.
IEEE DOI
2108
Cloud computing, Computational modeling,
Blockchain, Internet of Things, Edge computing, Data models,
blockchain
BibRef
Ghane, S.[Soheila],
Jolfaei, A.[Alireza],
Kulik, L.[Lars],
Ramamohanarao, K.[Kotagiri],
Puthal, D.[Deepak],
Preserving Privacy in the Internet of Connected Vehicles,
ITS(22), No. 8, August 2021, pp. 5018-5027.
IEEE DOI
2108
Servers, Privacy, Differential privacy, Correlation, Roads,
Differential privacy, edge computing,
Internet of connected vehicles
BibRef
Wan, K.[Kun],
Liu, X.L.[Xiao-Lei],
Yu, J.Y.[Jian-Yu],
Zhang, X.S.[Xiao-Song],
Du, X.J.[Xiao-Jiang],
Guizani, N.[Nadra],
Compiler-Based Efficient CNN Model Construction for 5G Edge Devices,
ITS(22), No. 8, August 2021, pp. 5261-5274.
IEEE DOI
2108
Convolution, Kernel, Standards, 5G mobile communication,
Mathematical model, Cloud computing, Training, 5G edge devices, efficient CNNs
BibRef
Li, Y.,
Zhu, L.,
Wang, H.,
Yu, F.R.,
Liu, S.,
A Cross-Layer Defense Scheme for Edge Intelligence-Enabled CBTC
Systems Against MitM Attacks,
ITS(22), No. 4, April 2021, pp. 2286-2298.
IEEE DOI
2104
Servers, Control systems, Safety, Computers, Rails,
Intrusion detection, Image edge detection, CBTC, edge intelligence,
cross-layer defense scheme
BibRef
Al Ridhawi, I.[Ismaeel],
Aloqaily, M.[Moayad],
Boukerche, A.[Azzedine],
Jararweh, Y.[Yaser],
Enabling Intelligent IoCV Services at the Edge for 5G Networks and
Beyond,
ITS(22), No. 8, August 2021, pp. 5190-5200.
IEEE DOI
2108
Blockchain, Quality of service, 5G mobile communication,
Internet of Things, Collaboration, Reliability, Smart cities, IoCV, blockchain
BibRef
Yang, A.[Anjia],
Weng, J.[Jian],
Yang, K.[Kan],
Huang, C.[Cheng],
Shen, X.M.[Xue-Min],
Delegating Authentication to Edge: A Decentralized Authentication
Architecture for Vehicular Networks,
ITS(23), No. 2, February 2022, pp. 1284-1298.
IEEE DOI
2202
Authentication, Protocols, Delays, Servers,
Handover, Vehicular networks, edge, mutual authentication, threshold signature
BibRef
Liu, S.[Su],
Yu, J.[Jiong],
Deng, X.H.[Xiao-Heng],
Wan, S.H.[Shao-Hua],
FedCPF: An Efficient-Communication Federated Learning Approach for
Vehicular Edge Computing in 6G Communication Networks,
ITS(23), No. 2, February 2022, pp. 1616-1629.
IEEE DOI
2202
Training, Servers, Convergence, Uplink, Data models,
6G mobile communication, Computational modeling,
communication overhead
BibRef
Hydher, H.[Hassaan],
Jayakody, D.N.K.[Dushantha Nalin K.],
Panic, S.[Stefan],
Maximizing the latency fairness in UAV-assisted MEC system,
IET-ITS(16), No. 4, 2022, pp. 434-444.
DOI Link
2203
MEC: multi-access edge computing.
BibRef
Zhu, X.Y.[Xiao-Yu],
Luo, Y.[Yueyi],
Liu, A.F.[An-Feng],
Xiong, N.N.[Neal N.],
Dong, M.X.[Mian-Xiong],
Zhang, S.B.[Shao-Bo],
A Deep Reinforcement Learning-Based Resource Management Game in
Vehicular Edge Computing,
ITS(23), No. 3, March 2022, pp. 2422-2433.
IEEE DOI
2203
Resource management, Servers, Games, Edge computing,
Reinforcement learning, Pricing, Computational modeling,
vehicular edge computing
BibRef
Wang, C.[Cong],
Chen, C.[Chen],
Pei, Q.Q.[Qing-Qi],
Lv, N.[Ning],
Song, H.[Houbing],
Popularity Incentive Caching for Vehicular Named Data Networking,
ITS(23), No. 4, April 2022, pp. 3640-3653.
IEEE DOI
2204
Games, Device-to-device communication, Vehicle dynamics,
Throughput, Internet, Edge computing, Topology, Stackelberg game
BibRef
Zhang, Y.[Yao],
Li, C.L.[Chang-Le],
Luan, T.H.[Tom H.],
Yuen, C.[Chau],
Fu, Y.C.[Yu-Chuan],
Wang, H.[Hui],
Wu, W.G.[Wei-Gang],
Towards Hit-Interruption Tradeoff in Vehicular Edge Caching:
Algorithm and Analysis,
ITS(23), No. 6, June 2022, pp. 5198-5210.
IEEE DOI
2206
Analytical models, Heuristic algorithms, Computational modeling,
Roads, Vehicle dynamics, Optimization, Edge computing, Edge caching,
utility
BibRef
Zhang, J.[Jie],
Lu, J.W.[Jia-Wei],
Yan, X.[Xuan],
Xu, X.L.[Xiao-Long],
Qi, L.[Lianyong],
Dou, W.C.[Wan-Chun],
Quantified Edge Server Placement With Quantum Encoding in Internet of
Vehicles,
ITS(23), No. 7, July 2022, pp. 9370-9379.
IEEE DOI
2207
Servers, Encoding, Task analysis, Cloud computing, Software,
Quality of service, Data communication, Edge server placement, IoV,
quantum encoding
BibRef
Duan, W.[Wei],
Gu, X.H.[Xiao-Hui],
Wen, M.W.[Miao-Wen],
Ji, Y.H.[Yanc-Heng],
Ge, J.H.[Jian-Hua],
Zhang, G.[Guoan],
Resource Management for Intelligent Vehicular Edge Computing Networks,
ITS(23), No. 7, July 2022, pp. 9797-9808.
IEEE DOI
2207
Resource management, Servers, Time factors, Quality of service,
Costs, Minimization, Vehicle dynamics, Internet of Vehicles (IoV),
energy efficiency
BibRef
Yilmaz, S.S.[Saadet Simay],
Özbek, B.[Berna],
Multi-Helper NOMA for Cooperative Mobile Edge Computing,
ITS(23), No. 7, July 2022, pp. 9819-9828.
IEEE DOI
2207
Task analysis, NOMA, Servers, Cloud computing, Resource management,
Minimization, Energy consumption,
offloading
BibRef
Mukherjee, M.[Mithun],
Kumar, V.[Vikas],
Zhang, Q.[Qi],
Mavromoustakis, C.X.[Constandinos X.],
Matam, R.[Rakesh],
Optimal Pricing for Offloaded Hard- and Soft-Deadline Tasks in Edge
Computing,
ITS(23), No. 7, July 2022, pp. 9829-9839.
IEEE DOI
2207
Task analysis, Servers, Computational modeling, Pricing,
Cloud computing, Edge computing, Delays, Mobile edge computing,
offloading
BibRef
Arthurs, P.[Peter],
Gillam, L.[Lee],
Krause, P.[Paul],
Wang, N.[Ning],
Halder, K.[Kaushik],
Mouzakitis, A.[Alexandros],
A Taxonomy and Survey of Edge Cloud Computing for Intelligent
Transportation Systems and Connected Vehicles,
ITS(23), No. 7, July 2022, pp. 6206-6221.
IEEE DOI
2207
Cloud computing, Connected vehicles, Bandwidth,
Taxonomy, Edge computing,
multi-access edge computing
BibRef
Xiao, X.[Xuan],
Ma, Y.[Yong],
Xia, Y.[Yunni],
Zhou, M.C.[Meng-Chu],
Luo, X.[Xin],
Wang, X.[Xu],
Fu, X.D.[Xiao-Dong],
Wei, W.[Wei],
Jiang, N.[Ning],
Novel Workload-Aware Approach to Mobile User Reallocation in Crowded
Mobile Edge Computing Environment,
ITS(23), No. 7, July 2022, pp. 8846-8856.
IEEE DOI
2207
Servers, Trajectory, Resource management, Load modeling, Task analysis,
Multi-access edge computing, Virtual machining, hotspot discovery
BibRef
Xiao, H.Z.[Hui-Zi],
Zhao, J.[Jun],
Pei, Q.Q.[Qing-Qi],
Feng, J.[Jie],
Liu, L.[Lei],
Shi, W.S.[Wei-Song],
Vehicle Selection and Resource Optimization for Federated Learning in
Vehicular Edge Computing,
ITS(23), No. 8, August 2022, pp. 11073-11087.
IEEE DOI
2208
Optimization, Computational modeling, Servers, Autonomous vehicles,
Resource management, Data models, Adaptation models,
vehicle selection
BibRef
Cui, J.[Jie],
Ouyang, F.Q.[Fen-Qiang],
Ying, Z.B.[Zuo-Bin],
Wei, L.[Lu],
Zhong, H.[Hong],
Secure and Efficient Data Sharing Among Vehicles Based on Consortium
Blockchain,
ITS(23), No. 7, July 2022, pp. 8857-8867.
IEEE DOI
2207
Blockchain, Security, 5G mobile communication, Edge computing,
Reliability, Roads, Base stations, Edge computing, blockchain, data sharing
BibRef
Gu, K.[Ke],
Wang, K.M.[Ke-Ming],
Li, X.[Xiong],
Jia, W.J.[Wei-Jia],
Multi-Fogs-Based Traceable Privacy-Preserving Scheme for Vehicular
Identity in Internet of Vehicles,
ITS(23), No. 8, August 2022, pp. 12544-12561.
IEEE DOI
2208
Servers, Vehicular ad hoc networks, Security, Edge computing,
Data collection, Authentication, Cryptography,
traceability
BibRef
Liu, G.X.[Guan-Xiong],
Shi, H.[Hang],
Kiani, A.[Abbas],
Khreishah, A.[Abdallah],
Lee, J.Y.[Jo-Young],
Ansari, N.[Nirwan],
Liu, C.J.[Cheng-Jun],
Yousef, M.M.[Mustafa Mohammad],
Smart Traffic Monitoring System Using Computer Vision and Edge
Computing,
ITS(23), No. 8, August 2022, pp. 12027-12038.
IEEE DOI
2208
Clouds, Cameras, Edge computing, Image edge detection,
Computational modeling, Cloud computing, Monitoring,
video analytic
BibRef
Zhang, D.J.[Da-Jun],
Yu, F.R.[F. Richard],
Yang, R.Z.[Rui-Zhe],
Blockchain-Based Multi-Access Edge Computing for Future Vehicular
Networks: A Deep Compressed Neural Network Approach,
ITS(23), No. 8, August 2022, pp. 12161-12175.
IEEE DOI
2208
Blockchains, Vehicular ad hoc networks, Task analysis, Reliability,
Computational modeling, Security, Markov processes,
Markov decision process
BibRef
Sorkhoh, I.[Ibrahim],
Assi, C.[Chadi],
Ebrahimi, D.[Dariush],
Sharafeddine, S.[Sanaa],
Optimizing Information Freshness for MEC-Enabled Cooperative
Autonomous Driving,
ITS(23), No. 8, August 2022, pp. 13127-13140.
IEEE DOI
2208
Solid modeling, Servers, Sensors, Task analysis, Schedules,
Edge computing, Computational modeling, Autonomous vehicles,
vehicular network
BibRef
Liao, Y.[Yong],
Cai, Z.R.[Zhi-Rong],
Sun, G.D.[Guo-Dong],
Tian, X.Y.[Xiao-Yi],
Hua, Y.X.[Yuan-Xiao],
Tan, X.H.[Xiao-Heng],
Deep Learning Channel Estimation Based on Edge Intelligence for
NR-V2I,
ITS(23), No. 8, August 2022, pp. 13306-13315.
IEEE DOI
2208
Channel estimation, Signal processing algorithms,
Convolutional neural networks, Encoding, Deep learning, Training,
edge intelligence
BibRef
Peng, Y.S.[Ying-Sheng],
Liu, Y.[Yong],
Li, D.[Dong],
Zhang, H.[Han],
Deep Reinforcement Learning Based Freshness-Aware Path Planning for
UAV-Assisted Edge Computing Networks with Device Mobility,
RS(14), No. 16, 2022, pp. xx-yy.
DOI Link
2208
BibRef
Ei, N.N.[Nway Nway],
Alsenwi, M.[Madyan],
Tun, Y.K.[Yan Kyaw],
Han, Z.[Zhu],
Hong, C.S.[Choong Seon],
Energy-Efficient Resource Allocation in Multi-UAV-Assisted Two-Stage
Edge Computing for Beyond 5G Networks,
ITS(23), No. 9, September 2022, pp. 16421-16432.
IEEE DOI
2209
Task analysis, Autonomous aerial vehicles, Resource management,
Mobile handsets, Computational modeling, Servers,
block successive upper-bound minimization
BibRef
Balasubramanian, V.[Venkatraman],
Otoum, S.[Safa],
Reisslein, M.[Martin],
VeNet: Hybrid Stacked Autoencoder Learning for Cooperative Edge
Intelligence in IoV,
ITS(23), No. 9, September 2022, pp. 16643-16653.
IEEE DOI
2209
Data models, Predictive models, Wireless communication,
Wireless networks, Roads, Wireless sensor networks, Topology, vehicular network
BibRef
Xia, S.C.[Shi-Chao],
Yao, Z.X.[Zhi-Xiu],
Wu, G.F.[Guang-Fu],
Li, Y.[Yun],
Distributed Offloading for Cooperative Intelligent Transportation
Under Heterogeneous Networks,
ITS(23), No. 9, September 2022, pp. 16701-16714.
IEEE DOI
2209
Task analysis, Servers, Computational modeling, Games,
Resource management, Delays, Cloud computing,
multi-agent deep deterministic policy gradient (MADDPG)
BibRef
de Sousa, P.H.F.[Pedro Henrique Feijó],
Almeida, J.S.[Jefferson Silva],
Ohata, E.F.[Elene Firmeza],
Nogueira, F.G.[Fabrício Gonzalez],
Torrico, B.C.[Bismark Claure],
de Albuquerque, V.H.C.[Victor Hugo Costa],
Hassan, M.M.[Mohammad Mehedi],
Kumar, N.[Neeraj],
Hassan, M.R.[Md. Rafiul],
Filho, P.P.R.[Pedro Pedrosa Rebouças],
Intelligent 3D Objects Classification for Vehicular Ad Hoc Network
Based on Lidar and Deep Learning Approaches,
ITS(23), No. 10, October 2022, pp. 19807-19816.
IEEE DOI
2210
Laser radar, Vehicular ad hoc networks, Cloud computing,
Deep learning, Training, Data models, Point cloud, VANET,
recognition
BibRef
Li, Y.F.[Yi-Fei],
Guo, Y.J.[Yi-Jia],
Alazab, M.[Mamoun],
Chen, S.B.[Sheng-Bo],
Shen, C.[Cong],
Yu, K.P.[Ke-Ping],
Joint Optimal Quantization and Aggregation of Federated Learning
Scheme in VANETs,
ITS(23), No. 10, October 2022, pp. 19852-19863.
IEEE DOI
2210
Quantization (signal), Servers, Collaborative work, Optimization,
Data models, Computational modeling, Standards, quantization
BibRef
Magaia, N.[Naercio],
Ferreira, P.[Pedro],
Pereira, P.R.[Paulo Rogério],
Muhammad, K.[Khan],
del Ser, J.[Javier],
de Albuquerque, V.H.C.[Victor Hugo C.],
Group'n Route: An Edge Learning-Based Clustering and Efficient
Routing Scheme Leveraging Social Strength for the Internet of
Vehicles,
ITS(23), No. 10, October 2022, pp. 19589-19601.
IEEE DOI
2210
Routing, Routing protocols, Clustering algorithms,
Vehicle dynamics, Cloud computing, Roads, Heuristic algorithms, social strength
BibRef
Ndikumana, A.[Anselme],
Nguyen, K.K.[Kim Khoa],
Cheriet, M.[Mohamed],
Age of Processing-Based Data Offloading for Autonomous Vehicles in
MultiRATs Open RAN,
ITS(23), No. 11, November 2022, pp. 21450-21464.
IEEE DOI
2212
Autonomous vehicles, Task analysis, Computational modeling,
5G mobile communication, Reliability, Servers, Optimization, 5G
BibRef
Kazmi, S.M.A.[S. M. Ahsan],
Ho, T.M.[Tai Manh],
Nguyen, T.T.[Tuong Tri],
Fahim, M.[Muhammad],
Khan, A.[Adil],
Piran, M.J.[Md. Jalil],
Baye, G.[Gaspard],
Computing on Wheels: A Deep Reinforcement Learning-Based Approach,
ITS(23), No. 11, November 2022, pp. 22535-22548.
IEEE DOI
2212
Task analysis, Vehicle dynamics, Edge computing,
Dynamic scheduling, Costs, Cloud computing, deep reinforcement learning
BibRef
Zhu, K.[Kun],
Zhou, Y.[Yue],
Yi, C.Y.[Chang-Yan],
Wang, R.[Ran],
Computation Resource Configuration With Adaptive QoS Requirements for
Vehicular Edge Computing: A Fluid-Model Based Approach,
ITS(23), No. 11, November 2022, pp. 21148-21162.
IEEE DOI
2212
Edge computing, Quality of service, Task analysis, Servers,
Resource management, Computational modeling, Cloud computing,
adaptive QoS requirements
BibRef
Li, W.C.[Wen-Chao],
Xia, C.H.[Chun-He],
Wang, C.[Chen],
Wang, T.B.[Tian-Bo],
Secure and Temporary Access Delegation With Equality Test for
Cloud-Assisted IoV,
ITS(23), No. 11, November 2022, pp. 20187-20201.
IEEE DOI
2212
Cloud computing, Public key, Encryption, Servers, Roads, Costs,
Search problems, Proxy re-encryption, equality test, temporary delegation
BibRef
Waqar, N.[Noor],
Hassan, S.A.[Syed Ali],
Mahmood, A.[Aamir],
Dev, K.[Kapal],
Do, D.T.[Dinh-Thuan],
Gidlund, M.[Mikael],
Computation Offloading and Resource Allocation in MEC-Enabled
Integrated Aerial-Terrestrial Vehicular Networks: A Reinforcement
Learning Approach,
ITS(23), No. 11, November 2022, pp. 21478-21491.
IEEE DOI
2212
Resource management, Q-learning, Vehicle dynamics, Task analysis,
Dynamic scheduling, Autonomous aerial vehicles,
multi-agent reinforcement learning
BibRef
Xu, X.L.[Xiao-Long],
Liu, Z.J.[Zhong-Jian],
Bilal, M.[Muhammad],
Vimal, S.,
Song, H.[Houbing],
Computation Offloading and Service Caching for Intelligent
Transportation Systems With Digital Twin,
ITS(23), No. 11, November 2022, pp. 20757-20772.
IEEE DOI
2212
Task analysis, Computational modeling, Energy consumption,
Decision theory, Servers, Digital twins, Delays, service caching
BibRef
Meneguette, R.[Rodolfo],
de Grande, R.[Robson],
Ueyama, J.[Jo],
Filho, G.P.R.[Geraldo P. Rocha],
Madeira, E.[Edmundo],
Vehicular Edge Computing: Architecture, Resource Management,
Security, and Challenges,
Surveys(55), No. 1, January 2023, pp. xx-yy.
DOI Link
2212
architecture, security, resource management, Vehicular edge computer
BibRef
Liang, S.Y.[Si-Yuan],
Wu, H.[Hao],
Zhen, L.[Li],
Hua, Q.[Qiaozhi],
Garg, S.[Sahil],
Kaddoum, G.[Georges],
Hassan, M.M.[Mohammad Mehedi],
Yu, K.P.[Ke-Ping],
Edge YOLO: Real-Time Intelligent Object Detection System Based on
Edge-Cloud Cooperation in Autonomous Vehicles,
ITS(23), No. 12, December 2022, pp. 25345-25360.
IEEE DOI
2212
Image edge detection, Object detection, Edge computing,
Cloud computing, Real-time systems, Computational modeling,
convolutional neural networks
BibRef
Han, Z.Y.[Zhao-Yang],
Yang, Y.Q.[Yao-Qi],
Wang, W.Z.[Wei-Zheng],
Zhou, L.[Lu],
Nguyen, T.N.[Tu N.],
Su, C.H.[Chun-Hua],
Age Efficient Optimization in UAV-Aided VEC Network: A Game Theory
Viewpoint,
ITS(23), No. 12, December 2022, pp. 25287-25296.
IEEE DOI
2212
Optimization, Game theory, Interference, Edge computing,
Data integrity, Autonomous aerial vehicles, Resource management,
vehicular edge computing (VEC)
BibRef
Yuan, X.M.[Xiao-Ming],
Chen, J.[Jiahui],
Zhang, N.[Ning],
Ni, J.B.[Jian-Bing],
Yu, F.R.[Fei Richard],
Leung, V.C.M.[Victor C. M.],
Digital Twin-Driven Vehicular Task Offloading and IRS Configuration
in the Internet of Vehicles,
ITS(23), No. 12, December 2022, pp. 24290-24304.
IEEE DOI
2212
Task analysis, Digital TV, Wireless communication, Servers,
6G mobile communication, Real-time systems, Delays, 6G
BibRef
Wei, W.T.[Wen-Ting],
Yang, R.[Ruying],
Gu, H.X.[Hua-Xi],
Zhao, W.[Weike],
Chen, C.[Chen],
Wan, S.H.[Shao-Hua],
Multi-Objective Optimization for Resource Allocation in Vehicular
Cloud Computing Networks,
ITS(23), No. 12, December 2022, pp. 25536-25545.
IEEE DOI
2212
Cloud computing, Resource management, Optimization,
Vehicle dynamics, Computational modeling, Transportation, NSGA-II
BibRef
Dass, P.[Prajnamaya],
Misra, S.[Sudip],
DeTTO: Dependency-Aware Trustworthy Task Offloading in Vehicular IoT,
ITS(23), No. 12, December 2022, pp. 24369-24378.
IEEE DOI
2212
Task analysis, Delays, Energy consumption,
Intelligent transportation systems, Optimization, vehicular IoT
BibRef
Bi, R.[Renwan],
Xiong, J.[Jinbo],
Tian, Y.L.[You-Liang],
Li, Q.[Qi],
Liu, X.[Ximeng],
Edge-Cooperative Privacy-Preserving Object Detection Over Random
Point Cloud Shares for Connected Autonomous Vehicles,
ITS(23), No. 12, December 2022, pp. 24979-24990.
IEEE DOI
2212
Point cloud compression, Object detection, Image edge detection,
Cryptography, Servers, Feature extraction, Data privacy,
connected and autonomous vehicles
BibRef
Liang, Z.[Ziyi],
Dai, Y.P.[Yan-Peng],
Lyu, L.[Ling],
Lin, B.[Bin],
Adaptive Data Collection and Offloading in Multi-UAV-Assisted
Maritime IoT Systems: A Deep Reinforcement Learning Approach,
RS(15), No. 2, 2023, pp. xx-yy.
DOI Link
2301
BibRef
Muhammad, G.[Ghulam],
Hossain, M.S.[M. Shamim],
Light Deep Models for Cognitive Computing in Intelligent
Transportation Systems,
ITS(24), No. 1, January 2023, pp. 1144-1152.
IEEE DOI
2301
Convolutional neural networks, Computational modeling,
Automobiles, Deep learning, Convolution, Image edge detection,
emotion recognition
BibRef
Liu, L.[Lei],
Zhao, M.[Ming],
Yu, M.[Miao],
Jan, M.A.[Mian Ahmad],
Lan, D.P.[Da-Peng],
Taherkordi, A.[Amirhosein],
Mobility-Aware Multi-Hop Task Offloading for Autonomous Driving in
Vehicular Edge Computing and Networks,
ITS(24), No. 2, February 2023, pp. 2169-2182.
IEEE DOI
2302
Task analysis, Servers, Resource management, Delays, Optimization,
Spread spectrum communication, Vehicular edge computing, connectivity
BibRef
Chen, P.P.[Peng-Peng],
Liu, D.J.D.[Dong-Jing-Dian],
Gao, S.W.[Shou-Wan],
Non-residual unrestricted pruned ultra-faster line detection for edge
devices,
PR(137), 2023, pp. 109321.
Elsevier DOI
2302
Line detection, Network slimming, Edge computing, Network interpretability
BibRef
Dong, L.[Luobing],
Gao, H.H.[Hong-Hao],
Wu, W.[Weili],
Gong, Q.W.[Qi-Wen],
Dechasa, N.C.[Nemera Chala],
Liu, Y.F.[Yan-Fei],
Dependence-Aware Edge Intelligent Function Offloading for 6G-Based
IoV,
ITS(24), No. 2, February 2023, pp. 2265-2274.
IEEE DOI
2302
Face recognition, Heuristic algorithms, Servers, Automobiles,
Edge computing, 5G mobile communication, IoV, edge intelligence,
offloading
BibRef
Yang, T.T.[Ting-Ting],
Cui, Z.Q.[Zheng-Qi],
Alshehri, A.H.[Asma Hassan],
Wang, M.[Miao],
Gao, K.[Kun],
Yu, K.P.[Ke-Ping],
Distributed Maritime Transport Communication System With Reliability
and Safety Based on Blockchain and Edge Computing,
ITS(24), No. 2, February 2023, pp. 2296-2306.
IEEE DOI
2302
Blockchains, Marine vehicles, Reliability, Security, Edge computing,
Peer-to-peer computing, Maritime communications, Reliability,
IoT-Enabled maritime transport communication system
BibRef
Dick, R.P.[Robert P.],
Aitken, R.[Rob],
Mogill, J.[Jace],
Strachan, J.P.[John Paul],
Bresniker, K.[Kirk],
Lu, W.[Wei],
Nakahira, Y.[Yorie],
Li, Z.Y.[Zhi-Yong],
Marinella, M.J.[Matthew J.],
Severa, W.[William],
Talin, A.A.[A. Alec],
Vineyard, C.M.[Craig M.],
Kumar, S.[Suhas],
Mailhiot, C.[Christian],
Klebanoff, L.[Lennie],
Research Challenges for Energy-Efficient Computing in Automated
Vehicles,
Computer(56), No. 3, March 2023, pp. 47-58.
IEEE DOI
2303
Thermal management, Reliability engineering, Real-time systems,
Sensors, Safety, Autonomous vehicles, Energy efficient computing,
Guidelines
BibRef
Li, C.L.[Chun-Lin],
Zhang, Y.[Yong],
Luo, Y.[Youlong],
A Federated Learning-Based Edge Caching Approach for Mobile Edge
Computing-Enabled Intelligent Connected Vehicles,
ITS(24), No. 3, March 2023, pp. 3360-3369.
IEEE DOI
2303
Training, Delays, Data privacy, Energy consumption, Vehicle dynamics,
Privacy, Data models, Intelligent connected vehicles (ICVs),
collaborative caching
BibRef
Alkinani, M.H.[Monagi H.],
Almazroi, A.A.[Abdulwahab Ali],
Adhikari, M.[Mainak],
Menon, V.G.[Varun G.],
Artificial Intelligence-Empowered Logistic Traffic Management System
Using Empirical Intelligent XGBoost Technique in Vehicular Edge
Networks,
ITS(24), No. 4, April 2023, pp. 4499-4508.
IEEE DOI
2304
Transportation, Edge computing, Image edge detection,
Task analysis, Data models, Servers, Real-time systems,
accuracy
BibRef
Fan, W.H.[Wen-Hao],
Su, Y.[Yi],
Liu, J.[Jie],
Li, S.M.[Shen-Meng],
Huang, W.[Wei],
Wu, F.[Fan],
Liu, Y.A.[Yuan-An],
Joint Task Offloading and Resource Allocation for Vehicular Edge
Computing Based on V2I and V2V Modes,
ITS(24), No. 4, April 2023, pp. 4277-4292.
IEEE DOI
2304
Task analysis, Resource management, Vehicular ad hoc networks,
Delays, Vehicle-to-infrastructure, Optimization, Edge computing, V2V
BibRef
Feng, X.Z.[Xin-Zheng],
Wu, J.[Jun],
Bashir, A.K.[Ali Kashif],
Li, J.H.[Jian-Hua],
Shen, A.[Ao],
Alshehri, M.D.[Mohammad Dahman],
Vulnerability-Aware Task Scheduling for Edge Intelligence Empowered
Trajectory Analysis in Intelligent Transportation Systems,
ITS(24), No. 4, April 2023, pp. 4661-4670.
IEEE DOI
2304
Task analysis, Trajectory, Access control, Edge computing,
Transportation, Processor scheduling, Job shop scheduling, task scheduling
BibRef
Koubaa, A.[Anis],
Ammar, A.[Adel],
Abdelkader, M.[Mohamed],
Alhabashi, Y.[Yasser],
Ghouti, L.[Lahouari],
AERO: AI-Enabled Remote Sensing Observation with Onboard Edge
Computing in UAVs,
RS(15), No. 7, 2023, pp. 1873.
DOI Link
2304
BibRef
Ko, H.[Haneul],
Kim, J.[Joonwoo],
Ryoo, D.[Dongkyun],
Cha, I.H.[In-Ho],
Pack, S.[Sangheon],
A Belief-Based Task Offloading Algorithm in Vehicular Edge Computing,
ITS(24), No. 5, May 2023, pp. 5467-5476.
IEEE DOI
2305
Task analysis, Optimization, Edge computing,
Computational modeling, Probability distribution, belief vector
BibRef
Ju, Y.[Ying],
Chen, Y.C.[Yu-Chao],
Cao, Z.W.[Zhi-Wei],
Liu, L.[Lei],
Pei, Q.Q.[Qing-Qi],
Xiao, M.[Ming],
Ota, K.[Kaoru],
Dong, M.[Mianxiong],
Leung, V.C.M.[Victor C. M.],
Joint Secure Offloading and Resource Allocation for Vehicular Edge
Computing Network: A Multi-Agent Deep Reinforcement Learning Approach,
ITS(24), No. 5, May 2023, pp. 5555-5569.
IEEE DOI
2305
Resource management, Vehicle dynamics, Task analysis,
Heuristic algorithms, Dynamic scheduling, Security, Eavesdropping,
deep reinforcement learning
BibRef
Ju, Y.[Ying],
Cao, Z.W.[Zhi-Wei],
Chen, Y.C.[Yu-Chao],
Liu, L.[Lei],
Pei, Q.Q.[Qing-Qi],
Mumtaz, S.[Shahid],
Dong, M.[Mianxiong],
Guizani, M.[Mohsen],
NOMA-Assisted Secure Offloading for Vehicular Edge Computing Networks
With Asynchronous Deep Reinforcement Learning,
ITS(25), No. 3, March 2024, pp. 2627-2640.
IEEE DOI
2405
NOMA, Jamming, Vehicle dynamics, Servers, Energy consumption,
Task analysis, Security, Vehicular edge computing,
deep reinforcement learning
BibRef
Talpur, A.[Anum],
Gurusamy, M.[Mohan],
On Attack-Resilient Service Placement and Availability in
Edge-Enabled IoV Networks,
ITS(24), No. 6, June 2023, pp. 6244-6256.
IEEE DOI
2306
Servers, Delays, Resilience, Performance evaluation,
Vehicle dynamics, Task analysis, Costs, Internet of vehicles,
edge network
BibRef
Gao, H.H.[Hong-Hao],
Huang, W.Q.[Wan-Qiu],
Liu, T.[Tong],
Yin, Y.[Yuyu],
Li, Y.[Youhuizi],
PPO2: Location Privacy-Oriented Task Offloading to Edge Computing
Using Reinforcement Learning for Intelligent Autonomous Transport
Systems,
ITS(24), No. 7, July 2023, pp. 7599-7612.
IEEE DOI
2307
Task analysis, Privacy, Servers, Computational modeling,
Edge computing, Data privacy, Real-time systems, Location privacy,
privacy loss
BibRef
Su, J.[Jian],
Yu, S.M.[Shi-Ming],
Li, B.[Bin],
Ye, Y.H.[Ying-Hui],
Distributed and Collective Intelligence for Computation Offloading in
Aerial Edge Networks,
ITS(24), No. 7, July 2023, pp. 7516-7526.
IEEE DOI
2307
Optimization, Task analysis, Autonomous aerial vehicles,
Energy consumption, Servers, Computational modeling,
alternating direction method of multipliers
BibRef
Yu, P.[Peng],
Ding, Y.H.[Ya-Hui],
Li, Z.[Zifan],
Tian, J.Y.[Jing-Yue],
Zhang, J.[Junye],
Liu, Y.B.[Yan-Bo],
Li, W.J.[Wen-Jing],
Qiu, X.S.[Xue-Song],
Energy-Efficient Coverage and Capacity Enhancement With Intelligent
UAV-BSs Deployment in 6G Edge Networks,
ITS(24), No. 7, July 2023, pp. 7664-7675.
IEEE DOI
2307
6G mobile communication, Optimization, Wireless communication,
Signal processing algorithms, Energy consumption, Base stations,
deep reinforcement algorithm
BibRef
Lin, Z.J.[Zhi-Jian],
Fang, Y.[Yi],
Chen, P.P.[Ping-Ping],
Chen, F.[Feng],
Zhang, G.H.[Guo-Hua],
Modeling and Analysis of Edge Caching for 6G mmWave Vehicular
Networks,
ITS(24), No. 7, July 2023, pp. 7422-7434.
IEEE DOI
2307
Device-to-device communication, Directional antennas,
Transmitting antennas, Propagation losses, Optimization,
concurrent transmissions
BibRef
Pan, C.[Chao],
Wang, Z.[Zhao],
Liao, H.J.[Hai-Jun],
Zhou, Z.Y.[Zhen-Yu],
Wang, X.Y.[Xiao-Yan],
Tariq, M.[Muhammad],
Al-Otaibi, S.[Sattam],
Asynchronous Federated Deep Reinforcement Learning-Based URLLC-Aware
Computation Offloading in Space-Assisted Vehicular Networks,
ITS(24), No. 7, July 2023, pp. 7377-7389.
IEEE DOI
2307
Ultra reliable low latency communication, Task analysis,
Computational modeling, Servers, Optimization, computation offloading
BibRef
Cui, Z.M.[Zong-Min],
Lu, Z.X.[Zhi-Xing],
Yang, L.T.[Laurence T.],
Yu, J.[Jing],
Chi, L.H.[Lian-Hua],
Xiao, Y.[Yan],
Zhang, S.L.[Shun-Li],
Privacy and Accuracy for Cloud-Fog-Edge Collaborative
Driver-Vehicle-Road Relation Graphs,
ITS(24), No. 8, August 2023, pp. 8749-8761.
IEEE DOI
2308
Vehicles, Privacy, Roads, Collaboration, Data privacy,
Computer science, Monitoring,
self-adaptive evolution
BibRef
Zhang, D.[Degan],
Wang, W.J.[Wen-Jing],
Zhang, J.[Jie],
Zhang, T.[Ting],
Du, J.Y.[Jin-Yu],
Yang, C.[Chun],
Novel Edge Caching Approach Based on Multi-Agent Deep Reinforcement
Learning for Internet of Vehicles,
ITS(24), No. 8, August 2023, pp. 8324-8338.
IEEE DOI
2308
Delays, Internet of Vehicles, Wireless communication,
Low latency communication, Servers, Reinforcement learning, multi-agent
BibRef
Wang, T.[Tian],
Liang, Y.Z.[Yu-Zhu],
Shen, X.W.[Xue-Wei],
Zheng, X.[Xi],
Mahmood, A.[Adnan],
Sheng, Q.Z.[Quan Z.],
Edge Computing and Sensor-Cloud: Overview, Solutions, and Directions,
Surveys(55), No. 13s, July 2023, pp. xx-yy.
DOI Link
2309
Survey, Edge Computing. edge computing, Sensor-cloud, WSNs, cloud computing
BibRef
Gong, T.[Taiyuan],
Zhu, L.[Li],
Yu, F.R.[F. Richard],
Tang, T.[Tao],
Edge Intelligence in Intelligent Transportation Systems: A Survey,
ITS(24), No. 9, September 2023, pp. 8919-8944.
IEEE DOI
2310
BibRef
Wang, L.L.[Lei-Lei],
Deng, X.H.[Xiao-Heng],
Gui, J.S.[Jin-Song],
Chen, X.C.[Xue-Chen],
Wan, S.H.[Shao-Hua],
Microservice-Oriented Service Placement for Mobile Edge Computing in
Sustainable Internet of Vehicles,
ITS(24), No. 9, September 2023, pp. 10012-10026.
IEEE DOI
2310
BibRef
Ning, Z.L.[Zhao-Long],
Hu, H.[Hao],
Wang, X.J.[Xiao-Jie],
Guo, L.[Lei],
Guo, S.[Song],
Wang, G.[Guoyin],
Gao, X.B.[Xin-Bo],
Mobile Edge Computing and Machine Learning in the Internet of
Unmanned Aerial Vehicles: A Survey,
Surveys(56), No. 1, August 2023, pp. 13.
DOI Link
2310
Survey, Edge Computing. The Internet of unmanned aerial vehicles,
computation offloading, intelligent decision making,
mobile edge computing
BibRef
Hao, H.[Hao],
Xu, C.Q.[Chang-Qiao],
Zhang, W.[Wei],
Yang, S.[Shujie],
Muntean, G.M.[Gabriel-Miro],
Computing Offloading With Fairness Guarantee:
A Deep Reinforcement Learning Method,
CirSysVideo(33), No. 10, October 2023, pp. 6117-6130.
IEEE DOI
2310
BibRef
Yang, S.M.[Shuang-Ming],
Tan, J.T.[Jiang-Tong],
Lei, T.[Tao],
Linares-Barranco, B.[Bernabe],
Smart Traffic Navigation System for Fault-Tolerant Edge Computing of
Internet of Vehicle in Intelligent Transportation Gateway,
ITS(24), No. 11, November 2023, pp. 13011-13022.
IEEE DOI
2311
BibRef
Yao, L.[Liang],
Xu, X.L.[Xiao-Long],
Bilal, M.[Muhammad],
Wang, H.H.[Hui-Hui],
Dynamic Edge Computation Offloading for Internet of Vehicles With
Deep Reinforcement Learning,
ITS(24), No. 11, November 2023, pp. 12991-12999.
IEEE DOI
2311
BibRef
Tong, S.Y.[Shi-Yuan],
Liu, Y.[Yun],
Miic, J.[Jelena],
Chang, X.L.[Xiao-Lin],
Zhang, Z.J.[Zhen-Jiang],
Wang, C.Y.[Chun-Yan],
Joint Task Offloading and Resource Allocation for Fog-Based
Intelligent Transportation Systems: A UAV-Enabled Multi-Hop
Collaboration Paradigm,
ITS(24), No. 11, November 2023, pp. 12933-12948.
IEEE DOI
2311
BibRef
Liu, Y.[Yang],
Yang, A.[Ang],
Zeng, Q.C.[Qing-Cheng],
Sun, Y.H.[Yu-Hui],
Gao, J.[Jing],
Lv, Z.H.[Zhi-Han],
Task Scheduling of Real-Time Traffic Information Processing Based on
Digital Twins,
ITS(24), No. 11, November 2023, pp. 13171-13179.
IEEE DOI
2311
BibRef
Liu, J.W.[Jing-Wei],
Li, Y.T.[Ya-Ting],
Sun, R.[Rong],
Liu, L.[Lei],
Zhang, N.[Ning],
Yu, F.R.[F. Richard],
Leung, V.C.M.[Victor C. M],
SDSS: Secure Data Sharing Scheme for Edge Enabled IoV Networks,
ITS(24), No. 11, November 2023, pp. 12038-12049.
IEEE DOI
2311
BibRef
Tan, Z.Q.[Zhi-Quan],
Yuan, D.[Dingli],
Zhang, Y.F.[Yi-Fan],
Huang, Z.Y.[Zhong-Yi],
Coded Real Number Matrix Multiplication for On-Device Edge Computing,
SPLetters(30), 2023, pp. 1572-1576.
IEEE DOI
2311
BibRef
Bao, Y.Y.[Yang-Yang],
Qiu, W.D.[Wei-Dong],
Cheng, X.C.[Xiao-Chun],
Sun, J.F.[Jian-Fei],
Fine-Grained Data Sharing With Enhanced Privacy Protection and
Dynamic Users Group Service for the IoV,
ITS(24), No. 11, November 2023, pp. 13035-13049.
IEEE DOI
2311
BibRef
Cui, Z.H.[Zhen-Hua],
Yang, T.[Tao],
Wu, X.F.[Xiao-Feng],
Hu, B.[Bo],
An Air-Ground Coordinated Sensing, Relay and Offloading for Emergency
Disposal in ITS System,
ITS(24), No. 11, November 2023, pp. 13240-13249.
IEEE DOI
2311
BibRef
Wang, W.Z.[Wei-Zheng],
Srivastava, G.[Gautam],
Lin, J.C.W.[Jerry Chun-Wei],
Yang, Y.Q.[Yao-Qi],
Alazab, M.[Mamoun],
Gadekallu, T.R.[Thippa Reddy],
Data Freshness Optimization Under CAA in the UAV-Aided MECN:
A Potential Game Perspective,
ITS(24), No. 11, November 2023, pp. 12912-12921.
IEEE DOI
2311
BibRef
Liu, L.[Lei],
Feng, J.[Jie],
Mu, X.Y.[Xuan-Yu],
Pei, Q.Q.[Qing-Qi],
Lan, D.P.[Da-Peng],
Xiao, M.[Ming],
Asynchronous Deep Reinforcement Learning for Collaborative Task
Computing and On-Demand Resource Allocation in Vehicular Edge
Computing,
ITS(24), No. 12, December 2023, pp. 15513-15526.
IEEE DOI
2312
BibRef
Xu, X.L.[Xiao-Long],
Yang, C.[Chenyi],
Bilal, M.[Muhammad],
Li, W.M.[Wei-Min],
Wang, H.H.[Hui-Hui],
Computation Offloading for Energy and Delay Trade-Offs With Traffic
Flow Prediction in Edge Computing-Enabled IoV,
ITS(24), No. 12, December 2023, pp. 15613-15623.
IEEE DOI
2312
BibRef
Zhou, X.H.[Xuan-Hong],
Bilal, M.[Muhammad],
Dou, R.[Ruihan],
Rodrigues, J.J.P.C.[Joel J. P. C.],
Zhao, Q.Z.[Qing-Zhan],
Dai, J.G.[Jian-Guo],
Xu, X.L.[Xiao-Long],
Edge Computation Offloading With Content Caching in 6G-Enabled IoV,
ITS(25), No. 3, March 2024, pp. 2733-2747.
IEEE DOI
2405
6G mobile communication, Delays, Task analysis, Servers,
Edge computing, Vehicle dynamics, Internet of Vehicles,
reinforcement learning
BibRef
Sun, L.[Lu],
Wan, L.T.[Liang-Tian],
Wang, J.S.[Jia-Shuai],
Lin, L.[Lin],
Gen, M.[Mitsuo],
Joint Resource Scheduling for UAV-Enabled Mobile Edge Computing
System in Internet of Vehicles,
ITS(24), No. 12, December 2023, pp. 15624-15632.
IEEE DOI
2312
BibRef
Sun, Y.L.[Yi-Long],
Wu, Z.Y.[Zhi-Yong],
Meng, K.[Ke],
Zheng, Y.H.[Yun-Hui],
Vehicular Task Offloading and Job Scheduling Method Based on
Cloud-Edge Computing,
ITS(24), No. 12, December 2023, pp. 14651-14662.
IEEE DOI
2312
BibRef
Ali, I.[Ikram],
Chen, Y.[Yong],
Li, J.Q.[Jian-Qiang],
Wakeel, A.[Abdul],
Pan, C.W.[Cheng-Wei],
Ullah, N.[Niamat],
Efficient Offline/Online Heterogeneous-Aggregated Signcryption
Protocol for Edge Computing-Based Internet of Vehicles,
ITS(24), No. 12, December 2023, pp. 14506-14519.
IEEE DOI
2312
BibRef
Hasan, M.M.[Md. Mahmudul],
Jahan, M.[Mosarrat],
Kabir, S.[Shaily],
A Trust Model for Edge-Driven Vehicular Ad Hoc Networks Using Fuzzy
Logic,
ITS(24), No. 12, December 2023, pp. 14037-14050.
IEEE DOI
2312
BibRef
Mirza, M.A.[Muhammad Ayzed],
Junsheng, Y.[Yu],
Raza, S.[Salman],
Ahmed, M.[Manzoor],
Asif, M.[Muhammad],
Irshad, A.[Azeem],
Kumar, N.[Neeraj],
MCLA Task Offloading Framework for 5G-NR-V2X-Based Heterogeneous
VECNs,
ITS(24), No. 12, December 2023, pp. 14329-14346.
IEEE DOI
2312
Ensure that computation is done in time.
BibRef
Cai, Z.[Zinuo],
Chen, Z.B.[Ze-Bin],
Liu, Z.H.[Zi-Han],
Xie, Q.M.[Quan-Min],
Ma, R.[Ruhui],
Guan, H.B.[Hai-Bing],
RIDIC: Real-Time Intelligent Transportation System With Dispersed
Computing,
ITS(25), No. 1, January 2024, pp. 1013-1022.
IEEE DOI
2402
Cloud computing, Transportation,
Intelligent transportation systems, Real-time systems, stream processing
BibRef
Li, H.F.[Hao-Fei],
Chen, C.[Chen],
Shan, H.G.[Hang-Guan],
Li, P.[Pu],
Chang, Y.C.[Yoong Choon],
Song, H.B.[Hou-Bing],
Deep Deterministic Policy Gradient-Based Algorithm for Computation
Offloading in IoV,
ITS(25), No. 3, March 2024, pp. 2522-2533.
IEEE DOI
2405
Task analysis, Heuristic algorithms, Vehicle dynamics,
Computational modeling, Servers, Delays, Optimization,
deep reinforcement learning
BibRef
Shi, Y.J.[Yan-Jun],
Chu, J.L.[Jin-Long],
Sun, X.[Xueyan],
Ning, S.[Shiduo],
A computation offloading method with distributed double deep
Q-network for connected vehicle platooning with
vehicle-to-infrastructure communications,
IET-ITS(18), No. 5, 2024, pp. 916-931.
DOI Link
2405
connected and automated vehicles, intelligent transportation,
vehicular ad hoc networks
BibRef
Zhang, P.Y.[Pei-Ying],
Chen, N.[Ning],
Xu, G.J.[Guan-Jun],
Kumar, N.[Neeraj],
Barnawi, A.[Ahmed],
Guizani, M.[Mohsen],
Duan, Y.X.[You-Xiang],
Yu, K.P.[Ke-Ping],
Multi-Target-Aware Dynamic Resource Scheduling for Cloud-Fog-Edge
Multi-Tier Computing Network,
ITS(25), No. 5, May 2024, pp. 3885-3897.
IEEE DOI
2405
Task analysis, Cloud computing, Quality of service,
Industrial Internet of Things, Search problems, deep reinforcement learning
BibRef
Wang, J.H.[Jun-Hua],
Zhu, K.[Kun],
Dai, P.[Penglin],
Han, Z.[Zhu],
An Adaptive Q-Value Adjustment-Based Learning Model for Reliable
Vehicle-to-UAV Computation Offloading,
ITS(25), No. 5, May 2024, pp. 3699-3713.
IEEE DOI
2405
Reliability, Computational modeling, Optimization,
Autonomous aerial vehicles, Adaptation models, Task analysis,
V2U computation offloading
BibRef
Kishani, M.[Mostafa],
Becvar, Z.[Zdenek],
Nikooroo, M.[Mohammadsaleh],
Asadi, H.[Hossein],
Joint Optimization of Communication and Storage Latencies for
Vehicular Edge Computing,
ITS(25), No. 6, June 2024, pp. 5435-5449.
IEEE DOI
2406
Edge computing, Servers, Resource management, Optimization,
Computational modeling, Cache storage,
mobile edge computing
BibRef
Lu, B.B.[Bin-Bin],
Fan, B.[Bo],
Wu, Y.[Yuan],
Qian, L.P.[Li-Ping],
Zhang, H.X.[Hai-Xia],
Lu, R.X.[Rong-Xing],
Predictive Computation Offloading and Resource Allocation in
DT-Empowered Vehicular Networks,
ITS(25), No. 6, June 2024, pp. 5474-5487.
IEEE DOI
2406
Costs, Prediction algorithms, Resource management,
Radio spectrum management, Task analysis, Digital twins,
deep reinforcement learning
BibRef
Wu, Y.[Yalan],
Wu, J.G.[Ji-Gang],
Chen, L.[Long],
Liu, B.S.[Bo-Sheng],
Yao, M.Y.[Mian-Yang],
Lam, S.K.[Siew Kei],
Share-Aware Joint Model Deployment and Task Offloading for Multi-Task
Inference,
ITS(25), No. 6, June 2024, pp. 5674-5687.
IEEE DOI
2406
Task analysis, Computational modeling, Multitasking,
Inference algorithms, Time factors, Quality of service, task offloading
BibRef
Zhang, R.P.[Rui-Peng],
Feng, Y.X.[Yan-Xiang],
Yang, Y.[Yikang],
Li, X.L.[Xiao-Ling],
Li, H.[Hengnian],
Dynamic Delay-Sensitive Observation-Data-Processing Task Offloading
for Satellite Edge Computing: A Fully-Decentralized Approach,
RS(16), No. 12, 2024, pp. 2184.
DOI Link
2406
BibRef
Lin, Z.J.[Zhi-Jian],
Chen, X.P.[Xiao-Pei],
He, X.F.[Xiao-Fan],
Tian, D.X.[Da-Xin],
Zhang, Q.S.[Qing-Song],
Chen, P.P.[Ping-Ping],
Energy-Efficient Cooperative Task Offloading in NOMA-Enabled
Vehicular Fog Computing,
ITS(25), No. 7, July 2024, pp. 7223-7236.
IEEE DOI
2407
Task analysis, NOMA, Resource management, Energy consumption,
Edge computing, Cloud computing, Optimization, energy consumption
BibRef
Zhang, J.[Juan],
Wu, Y.[Yulei],
Min, G.[Geyong],
Li, K.Q.[Ke-Qin],
Neural Network-Based Game Theory for Scalable Offloading in Vehicular
Edge Computing: A Transfer Learning Approach,
ITS(25), No. 7, July 2024, pp. 7431-7444.
IEEE DOI
2407
Games, Scalability, Computational modeling, Game theory,
Optimization, Artificial neural networks, Transfer learning,
scalable optimization
BibRef
El Houda, Z.A.[Zakaria Abou],
Moudoud, H.[Hajar],
Brik, B.[Bouziane],
Khoukhi, L.[Lyes],
Blockchain-Enabled Federated Learning for Enhanced Collaborative
Intrusion Detection in Vehicular Edge Computing,
ITS(25), No. 7, July 2024, pp. 7661-7672.
IEEE DOI
2407
Security, Blockchains, Privacy, Reliability, Federated learning,
Intrusion detection, Data privacy,
blockchain
BibRef
Fan, W.H.[Wen-Hao],
Zhang, Y.[Yaoyin],
Zhou, G.T.[Guang-Tao],
Liu, Y.[Yuan'an],
Deep Reinforcement Learning-Based Task Offloading for Vehicular Edge
Computing With Flexible RSU-RSU Cooperation,
ITS(25), No. 7, July 2024, pp. 7712-7725.
IEEE DOI
2407
Task analysis, Resource management, Optimization, Edge computing,
Delays, System performance, Load modeling, Edge computing,
task offloading
BibRef
Qin, P.[Peng],
Wang, Y.F.[Yi-Fei],
Cai, Z.Y.[Zi-Yuan],
Liu, J.Y.[Jia-Yan],
Li, J.H.[Jing-Han],
Zhao, X.W.[Xiong-Wen],
MADRL-Based URLLC-Aware Task Offloading for Air-Ground Vehicular
Cooperative Computing Network,
ITS(25), No. 7, July 2024, pp. 6716-6729.
IEEE DOI
2407
Costs, Task analysis, Ultra reliable low latency communication,
Servers, Optimization, Computational modeling,
multi-agent deep reinforcement learning (MADRL)
BibRef
Jiang, S.R.[Shun-Rong],
Li, J.P.[Jin-Peng],
Sang, G.[Guohuai],
Wu, H.Q.[Hai-Qin],
Zhou, Y.[Yong],
Vehicular Edge Computing Meets Cache: An Access Control Scheme With
Fair Incentives for Privacy-Aware Content Delivery,
ITS(25), No. 8, August 2024, pp. 8404-8418.
IEEE DOI
2408
Access control, Privacy, Authentication, Encryption, Edge computing,
Analytical models, Servers, Edge computing, content delivery, cache,
fair incentives
BibRef
Zhang, S.Q.[Si-Qi],
Yi, N.[Na],
Ma, Y.[Yi],
A Survey of Computation Offloading With Task Types,
ITS(25), No. 8, August 2024, pp. 8313-8333.
IEEE DOI
2408
Task analysis, Resource management, Vehicle dynamics, Surveys,
Optimization, Computational efficiency, Robot sensing systems,
offloading strategy
BibRef
Liu, D.B.[De-Bin],
Yang, L.T.[Laurence T.],
Zhao, R.N.[Ruo-Nan],
Deng, X.J.[Xian-Jun],
Zhu, C.[Chenlu],
Ruan, Y.H.[Yi-Heng],
Multi-Tree Compact Hierarchical Tensor Recurrent Neural Networks for
Intelligent Transportation System Edge Devices,
ITS(25), No. 8, August 2024, pp. 8719-8729.
IEEE DOI
2408
Computational modeling, Data models, Tensors, Training,
Task analysis, Long short term memory, Transportation,
neural network model acceleration
BibRef
Ma, G.F.[Gui-Fu],
Hu, M.[Manjiang],
Wang, X.W.[Xiao-Wei],
Li, H.R.[Hao-Ran],
Bian, Y.G.[You-Gang],
Zhu, K.[Konglin],
Wu, D.[Di],
Joint Partial Offloading and Resource Allocation for Vehicular
Federated Learning Tasks,
ITS(25), No. 8, August 2024, pp. 8444-8459.
IEEE DOI
2408
Task analysis, Resource management, Computational modeling, Servers,
Optimization, Federated learning, Vehicle dynamics, federated learning
BibRef
Jiang, Q.T.[Qin-Ting],
Xu, X.L.[Xiao-Long],
Bilal, M.[Muhammad],
Crowcroft, J.[Jon],
Liu, Q.[Qi],
Dou, W.C.[Wan-Chun],
Jiang, J.Y.[Jing-Yan],
Potential Game Based Distributed IoV Service Offloading With Graph
Attention Networks in Mobile Edge Computing,
ITS(25), No. 9, September 2024, pp. 10912-10925.
IEEE DOI
2409
Task analysis, Servers, Cloud computing, Delays, Resource management,
Real-time systems, Games, Service offloading, edge computing, flow forecasting
BibRef
Huang, M.T.[Meng-Ting],
Shen, Z.R.[Zhi-Rong],
Zhang, G.L.[Guang-Lin],
Joint Spectrum Sharing and V2V/V2I Task Offloading for Vehicular Edge
Computing Networks Based on Coalition Formation Game,
ITS(25), No. 9, September 2024, pp. 11918-11934.
IEEE DOI
2409
Task analysis, Delays, Resource management, Games, Servers,
Vehicular ad hoc networks, Uplink, Vehicular edge computing,
many-to-one matching
BibRef
Zhu, L.[Li],
Gong, T.[Taiyuan],
Wei, S.[Siyu],
Yu, F.R.[F. Richard],
Collaborative Train and Edge Computing in Edge Intelligence Based
Train Autonomous Operation Control Systems,
ITS(25), No. 9, September 2024, pp. 11991-12004.
IEEE DOI
2409
Real-time systems, Task analysis, Control systems, Collaboration,
5G mobile communication, Rails, Edge computing,
meta reinforcement learning (MRL)
BibRef
Cao, B.[Buqing],
Ye, H.F.[Hong-Fan],
Liu, J.X.[Jian-Xun],
Tang, B.[Bing],
Tao, Z.[Zhi],
Deng, S.G.[Shui-Guang],
SMART: Cost-Aware Service Migration Path Selection Based on Deep
Reinforcement Learning,
ITS(25), No. 9, September 2024, pp. 12421-12436.
IEEE DOI
2409
Costs, Servers, Processor scheduling, Scheduling, Optimization, Delays,
Computational modeling, Edge computing, mobile edge environments,
deep Q-learning networks
BibRef
Gao, G.[Guanyu],
Dong, Y.Q.[Yu-Qi],
Wang, R.[Ran],
Zhou, X.[Xin],
EdgeVision: Towards Collaborative Video Analytics on Distributed
Edges for Performance Maximization,
MultMed(26), 2024, pp. 9083-9094.
IEEE DOI
2409
Visual analytics, Collaboration, Delays, Bandwidth,
Analytical models, Performance evaluation, Costs, video analytics
BibRef
Azizian, B.[Bardia],
Bajic, I.V.[Ivan V.],
Privacy-Preserving Autoencoder for Collaborative Object Detection,
IP(33), 2024, pp. 4937-4951.
IEEE DOI Code:
WWW Link.
2409
Image coding, Data privacy, Training, Privacy, Codecs, Visualization,
Machine vision, Deep neural network, coding for machines, privacy,
feature compression
BibRef
Wang, P.[Peng],
Chen, G.F.[Gui-Fen],
Sun, Z.Y.[Zhi-Yao],
Joint Optimization of Task Offloading and Resource Allocation for
UAV-Assisted Edge Computing: A Stackelberg Bilayer Game Approach,
IEICE(E108-D), No. 9, September 2024, pp. 1174-1181.
WWW Link.
2410
BibRef
Zhang, R.P.[Rui-Peng],
Yang, Y.[Yikang],
Li, H.[Hengnian],
A Distributed Deadlock-Free Task Offloading Algorithm for Integrated
Communication-Sensing-Computing Satellites with Data-Dependent
Constraints,
RS(16), No. 18, 2024, pp. 3459.
DOI Link
2410
BibRef
Li, C.L.[Chun-Lin],
Zhang, Y.[Yong],
Wu, J.Y.[Jian-Yang],
Luo, Y.[Youlong],
Yu, S.[Shui],
Smart Contract-Based Decentralized Data Sharing and Content Delivery
for Intelligent Connected Vehicles in Edge Computing,
ITS(25), No. 10, October 2024, pp. 14535-14545.
IEEE DOI
2410
Blockchains, Data privacy, Smart contracts, Security, Quality of service,
Heuristic algorithms, Delays, ICV, data sharing, QPSO
BibRef
Qiu, B.[Bin],
Wang, Y.X.[Yun-Xiao],
Xiao, H.L.[Hai-Lin],
Zhang, Z.S.[Zhong-Shan],
Deep Reinforcement Learning-Based Adaptive Computation Offloading and
Power Allocation in Vehicular Edge Computing Networks,
ITS(25), No. 10, October 2024, pp. 13339-13349.
IEEE DOI
2410
Task analysis, Resource management, Delays, Heuristic algorithms,
Computational modeling, Costs, Cloud computing,
deep deterministic policy gradient (DDPG)
BibRef
Qian, L.P.[Li Ping],
Dong, X.Y.[Xin-Yu],
Wu, M.[Mengru],
Wu, Y.[Yuan],
Zhao, L.[Lian],
Long-Term Energy Consumption Minimization in NOMA-Enabled Vehicular
Edge Computing Networks,
ITS(25), No. 10, October 2024, pp. 13717-13728.
IEEE DOI
2410
Resource management, Optimization, Task analysis, NOMA,
Vehicle dynamics, Servers, Energy consumption,
vehicular networks
BibRef
Chen, G.[Geng],
Duan, W.Q.[Wen-Qiang],
Sun, J.L.[Jing-Li],
Zeng, Q.[Qingtian],
Zhang, Y.D.[Yu-Dong],
Social-Aware Assisted Edge Collaborative Caching Based on Deep
Reinforcement Learning Joint With Digital Twin Network in Internet of
Vehicles,
ITS(25), No. 10, October 2024, pp. 14785-14802.
IEEE DOI
2410
Digital twins, Vehicle dynamics, Collaboration, Servers, Delays,
Semantics, Real-time systems, Edge caching, ITS, vehicle clustering, D3QN
BibRef
Kwon, D.[Deokkyu],
Son, S.[Seunghwan],
Kim, M.[MyeongHyun],
Lee, J.[JoonYoung],
Das, A.K.[Ashok Kumar],
Park, Y.[Youngho],
A Secure Self-Certified Broadcast Authentication Protocol for
Intelligent Transportation Systems in UAV-Assisted Mobile Edge
Computing Environments,
ITS(25), No. 11, November 2024, pp. 19004-19017.
IEEE DOI
2411
Protocols, Autonomous aerial vehicles, Security, Authentication,
Task analysis, Servers, Real-time systems, Mobile edge computing, UAV
BibRef
Moosavi, S.[Samin],
Weaver, A.[Andrew],
Gopalswamy, S.[Swaminathan],
Sensor-Health Aware Resilient Fusion With Application to
Multi-Vehicle Tracking Using Infrastructure Sensors and Edge Compute,
ITS(25), No. 11, November 2024, pp. 16059-16071.
IEEE DOI
2411
Sensors, Sensor fusion, Sensor phenomena and characterization,
Sensor systems, Radar tracking, Uncertainty, Intelligent sensors,
fault detection
BibRef
Tan, L.[Lin],
Guo, S.T.[Song-Tao],
Zhou, P.Z.[Peng-Zhan],
Kuang, Z.F.[Zhu-Fang],
Long, S.[Saiqin],
Li, Z.[Zhetao],
Multi-UAV-Enabled Collaborative Edge Computing: Deployment,
Offloading and Resource Optimization,
ITS(25), No. 11, November 2024, pp. 18305-18320.
IEEE DOI
2411
Autonomous aerial vehicles, Task analysis, Collaboration,
Edge computing, Servers, Optimization, Resource management,
deep reinforcement learning
BibRef
Song, X.X.[Xiao-Xiang],
Cheng, K.X.[Kai-Xin],
Wu, T.[Tao],
Wang, H.[Hai],
Guo, Y.[Yan],
Cost-Efficient Edge Federated Learning Over Multiple Base Stations
for the ITS Based on Connected and Autonomous Vehicles,
ITS(25), No. 11, November 2024, pp. 18748-18763.
IEEE DOI
2411
Data models, Training, Servers, Data privacy,
Computational modeling, Wireless communication,
connected and autonomous vehicles
BibRef
Li, X.H.[Xue-Han],
Jing, T.[Tao],
Wang, X.X.[Xiao-Xuan],
Han, D.[Dengyu],
Fan, X.[Xin],
Dong, H.H.[Hong-Hui],
Li, X.Y.[Xiang-Yu],
Yu, F.R.[Fei Richard],
Two-Stage Offloading for an Enhancing Distributed Vehicular Edge
Computing and Networks: Model and Algorithm,
ITS(25), No. 11, November 2024, pp. 17744-17761.
IEEE DOI
2411
Task analysis, Optimization, Delays, Resource management, Costs,
Prediction algorithms, MADDPG
BibRef
Zhao, D.Y.[Dong-Yang],
Su, G.Y.[Guo-Yong],
Wang, P.Y.[Peng-Yu],
Visual information perception system of coal mine comprehensive
excavation working face for edge computing terminal,
IET-IPR(18), No. 12, 2024, pp. 3681-3698.
DOI Link
2411
convolutional neural nets, embedded systems,
feature extraction, image recognition, object detection, visual perception
BibRef
Wakgra, F.G.[Frezer Guteta],
Kar, B.[Binayak],
Tadele, S.B.[Seifu Birhanu],
Shen, S.H.[Shan-Hsiang],
Khan, A.U.[Asif Uddin],
Multi-Objective Offloading Optimization in MEC and Vehicular-Fog
Systems: A Distributed-TD3 Approach,
ITS(25), No. 11, November 2024, pp. 16897-16909.
IEEE DOI
2411
Task analysis, Internet of Things, Energy consumption,
Computational modeling, Optimization, TD3
BibRef
Raju, M.R.[Mekala Ratna],
Mothku, S.K.[Sai Krishna],
Somesula, M.K.[Manoj Kumar],
DMITS: Dependency and Mobility-Aware Intelligent Task Scheduling in
Socially-Enabled VFC Based on Federated DRL Approach,
ITS(25), No. 11, November 2024, pp. 17007-17022.
IEEE DOI
2411
Vehicular fog computing.
Task analysis, Processor scheduling, Energy consumption,
Resource management, Optimal scheduling, Dynamic scheduling,
deep reinforcement learning
BibRef
Gao, B.L.[Bo-Lin],
Liu, J.X.[Jia-Xi],
Zou, H.D.[Heng-Duo],
Chen, J.X.[Jia-Xing],
He, L.[Lei],
Li, K.Q.[Ke-Qiang],
Vehicle-Road-Cloud Collaborative Perception Framework and Key
Technologies: A Review,
ITS(25), No. 12, December 2024, pp. 19295-19318.
IEEE DOI
2412
Sensors, Cloud computing, Radar, Collaboration, Cameras, Surveys,
Laser radar, Feature extraction,
collaborative perception
BibRef
Geng, J.W.[Jing-Wei],
Qin, Z.[Zaiming],
Jin, S.[Shunfu],
Dynamic Resource Allocation for Cloud-Edge Collaboration Offloading
in VEC Networks With Diverse Tasks,
ITS(25), No. 12, December 2024, pp. 21235-21251.
IEEE DOI
2412
Resource management, Optimization, Servers, Delays, Vehicle dynamics,
Dynamic scheduling, Collaboration, Vehicular networks,
Lyapunov optimization
BibRef
Awais, S.M.[Syed Muhammad],
Yucheng, W.[Wu],
Mahmood, K.[Khalid],
Alenazi, M.J.F.[Mohammed J. F.],
Bashir, A.K.[Ali Kashif],
Das, A.K.[Ashok Kumar],
Lorenz, P.[Pascal],
Provably Secure and Lightweight Authentication and Key Agreement
Protocol for Fog-Based Vehicular Ad-Hoc Networks,
ITS(25), No. 12, December 2024, pp. 21107-21116.
IEEE DOI
2412
Protocols, Authentication, Security, Edge computing, Cryptography,
Real-time systems, Vehicular ad hoc networks, Fog computing, security
BibRef
Hui, Y.L.[Yi-Long],
Li, Y.M.[Ying-Meng],
Cheng, N.[Nan],
Li, C.L.[Chang-La],
Zhou, C.H.[Cong-Hao],
Su, Z.[Zhou],
Chen, R.[Rui],
Prevent Deception: On-Demand Data Synchronization for Vehicle Digital
Twins,
ITS(26), No. 1, January 2025, pp. 182-195.
IEEE DOI
2501
Games, Synchronization, Costs, Data models, Autonomous vehicles,
Digital twins, Delays, Resource management, Optimization, game theory
BibRef
Zhao, L.[Liang],
Dong, X.[Xinya],
Hawbani, A.[Ammar],
Bi, Y.G.[Yuan-Guo],
He, Q.[Qiang],
Liu, Z.[Zhi],
Optimizing Task Offloading in VEC: A PDQKM Scheme Combining Deep
Reinforcement Learning and Kuhn-Munkres Matching,
ITS(26), No. 1, January 2025, pp. 1319-1334.
IEEE DOI
2501
Vehicle dynamics, Heuristic algorithms, Optimization, Servers,
Real-time systems, Delays, Resource management, Dynamic scheduling,
task offloading
BibRef
Gu, K.[Ke],
Liu, Z.[Zhenlin],
Jia, W.J.[Wei-Jia],
Location-Aware Reliable Task Cooperative-Computation Scheme Under Fog
Computing-Based IoVs,
ITS(26), No. 1, January 2025, pp. 425-442.
IEEE DOI
2501
Reliability, Servers, Cloud computing, Resource management,
Edge computing, Delays, Internet of Vehicles,
cooperative-computation
BibRef
Abbas, Z.[Zahir],
Xu, S.[Shihe],
Zhang, X.M.[Xin-Ming],
An Efficient Partial Task Offloading and Resource Allocation Scheme
for Vehicular Edge Computing in a Dynamic Environment,
ITS(26), No. 2, February 2025, pp. 2488-2502.
IEEE DOI
2502
Resource management, Energy consumption, Vehicle dynamics, Servers,
Heuristic algorithms, Delays, Dynamic scheduling,
decentralized learning algorithm
BibRef
Le, T.[Tan],
Reisslein, M.[Martin],
Shetty, S.[Sachin],
Multi-Timescale Actor-Critic Learning for Computing Resource
Management With Semi-Markov Renewal Process Mobility,
ITS(25), No. 1, January 2024, pp. 452-461.
IEEE DOI
2402
Streaming media, Transcoding, Blockchains, Computational modeling,
Resource management, Task analysis, Edge computing, vehicular network
BibRef
Xiang, X.Y.[Xin-Yin],
Cao, J.[Jin],
Fan, W.G.[Wei-Guo],
Secure Authentication and Trust Management Scheme for Edge AI-Enabled
Cyber-Physical Systems,
ITS(26), No. 3, March 2025, pp. 3237-3249.
IEEE DOI
2503
Industrial Internet of Things, Authentication, Security,
Trust management, Blockchains, Performance evaluation,
cyber-physical systems (CPSs)
BibRef
Xie, X.[Xin],
Zhong, T.[Tao],
Wang, H.[Heng],
Scheduling for Maximizing the Information Freshness in Vehicular Edge
Computing- Assisted IoT Systems,
ITS(26), No. 3, March 2025, pp. 4140-4151.
IEEE DOI
2503
Servers, Optimal scheduling, Internet of Things,
Wireless communication, Job shop scheduling, Indexes,
Internet of Things
BibRef
Morán-Fernández, L.[Laura],
Blanco-Mallo, E.[Eva],
Sechidis, K.[Konstantinos],
Bolón-Canedo, V.[Verónica],
Breaking boundaries: Low-precision conditional mutual information for
efficient feature selection,
PR(162), 2025, pp. 111375.
Elsevier DOI
2503
Conditional mutual information, Low-precision,
Feature selection, Markov blanket, Edge computing
BibRef
Li, C.[Caiguo],
Shang, B.D.[Bo-Dong],
Feng, J.[Jie],
Liu, L.[Lei],
Chen, S.Z.[Shan-Zhi],
Vehicular Edge Computing in Satellite-Terrestrial Integrated Networks,
ITS(26), No. 4, April 2025, pp. 5290-5306.
IEEE DOI
2504
Satellites, Space-air-ground integrated networks,
Low earth orbit satellites, Edge computing, Resource management,
resource allocation
BibRef
Wang, C.[Chong],
Li, H.[Hui],
Chen, Y.Q.[Yong-Quan],
Offloading Model and Algorithm for VANET Broadcast Applications,
ITS(26), No. 5, May 2025, pp. 6070-6083.
IEEE DOI
2505
Vehicular ad hoc networks, Computational modeling, Servers,
Optimization, Energy consumption, Delays, Safety, Edge computing,
polynomial-time heuristic algorithm
BibRef
Xie, W.X.[Wen-Xuan],
Chen, C.[Chen],
Ju, Y.[Ying],
Shen, J.[Jun],
Pei, Q.Q.[Qing-Qi],
Song, H.[Houbing],
Deep Reinforcement Learning-Based Computation Computational
Offloading for Space-Air-Ground Integrated Vehicle Networks,
ITS(26), No. 5, May 2025, pp. 5804-5815.
IEEE DOI
2505
Satellites, Delays, Autonomous aerial vehicles,
Computational modeling, Optimization, Low earth orbit satellites,
mobile edge computing (MEC)
BibRef
Wu, Y.[Yu],
Fang, X.M.[Xu-Ming],
Min, G.[Geyong],
Chen, H.Y.[Hong-Yang],
Luo, C.[Chunbo],
Intelligent Offloading Balance for Vehicular Edge Computing and
Networks,
ITS(26), No. 5, May 2025, pp. 5792-5803.
IEEE DOI
2505
Servers, Resource management, Edge computing, Vehicle dynamics,
Smart cities, Telecommunication traffic, Heuristic algorithms,
deep reinforcement learning
BibRef
Zhang, D.J.[Da-Jun],
Shi, W.[Wei],
St-Hilaire, M.[Marc],
The Permissioned Blockchain-Based Quantum-Inspired Edge Intelligence
Approach for the Services of Future Internet of Vehicles,
ITS(26), No. 5, May 2025, pp. 6171-6185.
IEEE DOI
2505
Resource management, Blockchains, Computational modeling, Security,
Artificial intelligence, Q-learning, Adaptation models,
quantum-inspired dueling deep Q-learning
BibRef
Li, C.L.[Chun-Lin],
Zhang, Y.[Yong],
Yu, L.[Long],
Yang, M.J.[Meng-Jie],
Efficient Vehicle Selection and Resource Allocation for Knowledge
Distillation-Based Federated Learning in UAV-Assisted VEC,
ITS(26), No. 5, May 2025, pp. 6321-6331.
IEEE DOI
2505
Vehicular Edge Computing.
Training, Resource management, Autonomous aerial vehicles,
Computational modeling, Federated learning, Costs, Bandwidth,
knowledge distillation
BibRef
Fan, B.[Bo],
Xu, Z.[Zhenlin],
Li, Z.[Zhidu],
Wu, Y.[Yuan],
Zhang, Y.[Yan],
DT Assisted Task Offloading for C-V2X Networks With Imperfect DT
Prediction Conditions,
ITS(26), No. 5, May 2025, pp. 6248-6262.
IEEE DOI
2505
Ultra reliable low latency communication, Resource management,
Safety, Optimization, Transportation, Vehicle-to-everything, Delays,
robust optimization
BibRef
Saini, A.[Abhishek],
Moazeni, S.[Sajjad],
Accelerating Cascade Classifier Training with Genetic Algorithms for
Edge ML Applications,
ICIP24(589-595)
IEEE DOI
2411
Training, Deep learning, Accuracy, Image edge detection,
Computational modeling, Object detection, Feature extraction, Edge ML
BibRef
Busto, M.R.[Monikka Roslianna],
Enomoto, S.[Shohei],
Eda, T.[Takeharu],
Collaborative Intelligence for Vision Transformers:
A Token Sparsity-Driven Edge-Cloud Framework,
ICIP24(1330-1335)
IEEE DOI
2411
Degradation, Image coding, Accuracy, Costs, Data compression,
Transformers, Collaborative Intelligence, Vision Transformer,
Edge Computing
BibRef
Chen, E.C.[Erh-Chung],
Chen, P.Y.[Pin-Yu],
Chung, I.H.[I-Hsin],
Lee, C.R.[Che-Rung],
Overload: Latency Attacks on Object Detection for Edge Devices,
CVPR24(24716-24725)
IEEE DOI
2410
YOLO, Deep learning, Costs, Image edge detection, Closed box,
Object detection, adversarial attack, object detection, latency attack
BibRef
Sjövall, P.[Panu],
Mercat, A.[Alexandre],
Vanne, J.[Jarno],
FPGA-Accelerated HEVC Encoder for Energy-Efficient Multi-Access Edge
Computing,
ICIP23(2215-2219)
IEEE DOI
2312
BibRef
Jiang, P.H.[Peng-Hao],
Xin, K.[Ke],
Li, C.X.[Chun-Xi],
Zhou, Y.[Yinsi],
High-efficiency Device-Cloud Collaborative Transformer Model,
MobileAI23(2204-2210)
IEEE DOI
2309
BibRef
Maaz, M.[Muhammad],
Shaker, A.[Abdelrahman],
Cholakkal, H.[Hisham],
Khan, S.[Salman],
Zamir, S.W.[Syed Waqas],
Anwer, R.M.[Rao Muhammad],
Khan, F.S.[Fahad Shahbaz],
Edgenext: Efficiently Amalgamated CNN-transformer Architecture for
Mobile Vision Applications,
CADK22(3-20).
Springer DOI
2304
BibRef
Doshi, K.[Keval],
Yilmaz, Y.[Yasin],
Federated Learning-based Driver Activity Recognition for Edge Devices,
AICity22(3337-3345)
IEEE DOI
2210
Performance evaluation, Data privacy, Computational modeling,
Activity recognition, Collaborative work, Data models
BibRef
Alyahya, M.[Munirah],
Alghannam, S.[Shahad],
Alhussan, T.[Taghreed],
Temporal Driver Action Localization using Action Classification
Methods,
AICity22(3318-3325)
IEEE DOI
2210
Location awareness, Urban areas, Data preprocessing,
Transportation, Classification algorithms, Safety
BibRef
Cao, Y.,
Chen, Y.,
QoE-based node selection strategy for edge computing enabled
Internet-of-Vehicles (EC-IoV),
VCIP17(1-4)
IEEE DOI
1804
cloud computing, quality of experience, EC-IoV,
Internet-of-Vehicles, QoE based node selection strategy,
quality of experience
BibRef
Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Rail Traffic Controls, Trains .