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.[Zihao],
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.[Miaowen],
Ji, Y.[Yancheng],
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.[Fenqiang],
Ying, Z.[Zuobin],
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.[Guangfu],
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.[Yijia],
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.[Changyan],
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.[Dongjingdian],
Gao, S.[Shouwan],
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
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 .