Hybrid deep learning techniques for adaptive routing and congestion control in urban VANET for wireless mobile networking. [PDF]
Sci RepMaray M.
europepmc +1 more source
A DAG-Based Offloading Strategy with Dynamic Parallel Factor Adjustment for Edge Computing in IoV. [PDF]
Sensors (Basel)Guan W, Zheng Q, Lian X, Gao C.
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A V2X communication resource allocation method based on graph neural networks and deep reinforcement learning. [PDF]
Sci RepYu W, Yang X, Yu S.
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An Integrated UAV Trajectory Adaptation Framework for 5G Highway Vehicular Communications. [PDF]
Sensors (Basel)Vidal I, Bolufé S, Toledo K.
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A blockchain-enabled trust-aware authentication framework for secure communication in VANETs. [PDF]
Sci RepSajini S, Jananee V, Anita EAM.
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HBV-IoT: Hierarchical Blockchain-Based Vehicular IoT Network Model for Secured Traffic Monitoring and Control Management. [PDF]
Sensors (Basel)Priya S +4 more
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Vehicular Edge Computing and Networking: A Survey [PDF]
Mobile Networks and Applications, 2020 As one key enabler of Intelligent Transportation System (ITS), Vehicular Ad Hoc Network (VANET) has received remarkable interest from academia and industry. The emerging vehicular applications and the exponential growing data have naturally led to the increased needs of communication, computation and storage resources, and also to strict performance ...
Qingqi Pei, Lei Liu, Sabita Maharjan
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Personalized Vehicular Edge Computing in 6G
IEEE Network, 2021Sixth-generation (6G) space-air-ground integrated vehicular networks (SAGIVNs) are expected to provide customized edge computing services for moving vehicles (MVs). In this article, by integrating 6G SAGIVNs and edge computing, we propose a secure and personalized vehicular edge computing framework in 6G to satisfy the diversified requirements of MVs ...
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Task Caching in Vehicular Edge Computing
IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), 2021Vehicular edge computing combines mobile edge computing with vehicular ad hoc networks and endeavors to mitigate the workloads of vehicles. Inspired by the content-centric mobile edge caching, we in this paper propose a cache enabled task offloading in the vehicular edge computing in hope to jointly optimize the response delay and the energy ...
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