16.7.2.7.34 Edge Computing in Vehicle Networks, VANET

Chapter Contents (Back)
Edge Computing. Vehicle Networks. Networks.

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.[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.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.[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

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.[Jinyu], 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], Mišic, 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.[Qingcheng], 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.[Liangtian], Wang, J.[Jiashuai], 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.[Chengwei], 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.[Guanjun], Kumar, N.[Neeraj], Barnawi, A.[Ahmed], Guizani, M.[Mohsen], Duan, Y.[Youxiang], 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.[Junhua], 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


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 .


Last update:May 29, 2024 at 17:34:46