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,
Computer architecture, 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, Computer architecture,
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, Computer architecture, 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
Computer architecture, 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
Computer architecture, 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, Computer architecture, 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.[Zhengguo],
Duan, X.[Xuting],
Zhou, J.[Jianshan],
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.[Daosen],
Huang, F.[Fanghui],
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, Computer architecture, 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, Computer architecture,
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
Liu, S.[Su],
Yu, J.[Jiong],
Deng, X.[Xiaoheng],
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
Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Rail Traffic Controls, Trains .