Reinforcement learning for joint optimization of communication and computation in vehicular networks

Y Cui, L Du, H Wang, D Wu… - … Transactions on Vehicular …, 2021 - ieeexplore.ieee.org
… neighbor method to select offloading layers … selecting the local computing layer to perform
the task, the algorithm called collaborative vehicle selection is used to find the target vehicle

Vehicle selection and resource optimization for federated learning in vehicular edge computing

H Xiao, J Zhao, Q Pei, J Feng, L Liu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
… of each vehicle. A detailed summary of recent FL applications in vehicular networks and
current … , and applications based on vehicular networks. Considering the communication delays …

A comprehensive survey on clustering in vehicular networks: Current solutions and future challenges

M Ayyub, A Oracevic, R Hussain, AA Khan, Z Zhang - Ad Hoc Networks, 2022 - Elsevier
… of successful communication among vehicles and infrastructure in vehicular networks. To this
end… , optimization of clustering, and cluster head selection strategies in vehicular networks. …

Reservation service: Trusted relay selection for edge computing services in vehicular networks

Y Hui, Z Su, TH Luan, C Li - IEEE Journal on Selected Areas in …, 2020 - ieeexplore.ieee.org
… [30] present a reputation-based message authentication framework for 5G-enabled vehicular
networks, where the reputation value of vehicles are managed by the trusted authority. The …

ELITE: An intelligent digital twin-based hierarchical routing scheme for softwarized vehicular networks

L Zhao, Z Bi, A Hawbani, K Yu, Y Zhang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
selection and road path planning in the IDT-SDVN controller, and road-based relay vehicle
selection in distributed vehicular networks. … changes in vehicular networks and decrease the …

[HTML][HTML] Joint optimization of network selection and task offloading for vehicular edge computing

L Tang, B Tang, L Zhang, F Guo, H He - Journal of Cloud Computing, 2021 - Springer
… Taking the mobile edge computing paradigm as an effective supplement to the vehicular
networks can enable vehicles to obtain network resources and computing capability nearby, …

Software-defined vehicular network (SDVN): A survey on architecture and routing

MM Islam, MTR Khan, MM Saad, D Kim - Journal of Systems Architecture, 2021 - Elsevier
… The future vehicular network will comprise of various types of vehicles. That will increase the
… Routing and channel selection are made separately in vehicular networks, which may lead …

Applications of game theory in vehicular networks: A survey

Z Sun, Y Liu, J Wang, G Li, C Anil, K Li… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
Vehicular networks (VNs) have been regarded as an important component in ITS for intelligent
decision making through vehicle-to-vehicle (V2V), vehicleselection [56], and the security …

A robust distance-based relay selection for message dissemination in vehicular network

D Cao, B Zheng, B Ji, Z Lei, C Feng - Wireless Networks, 2020 - Springer
… So, how to select an appropriate relay node in V2V, which … selection for the message
dissemination in vehicular network. … with a wide range of vehicle densities, and assuring an …

Application aware networks' resource selection decision making technique using group mobility in vehicular cognitive radio networks

MS Gupta, K Kumar - Vehicular Communications, 2020 - Elsevier
… for the fair selection of optimal networks' resource in vehicular CR networks have become
… In order to deal with multiple vehicular CR nodes inside a vehicle the idea of group mobility …