Vehicular edge computing and networking: A survey

L Liu, C Chen, Q Pei, S Maharjan, Y Zhang - Mobile networks and …, 2021 - Springer
… remote cloud to the edge of networks in close proximity of vehicular users, which enables …
vehicular networks into MEC, thereby forming a novel paradigm named as Vehicular Edge

Mobile-edge computing for vehicular networks: A promising network paradigm with predictive off-loading

K Zhang, Y Mao, S Leng, Y He… - IEEE vehicular …, 2017 - ieeexplore.ieee.org
… In this article, we proposed a new framework of mobileedge cloud-based vehicular networks.
Based on the framework, we discussed the time consumption and the off-loading cost of …

Multi-access edge computing for vehicular networks: A position paper

R Soua, I Turcanu, F Adamsky… - 2018 IEEE Globecom …, 2018 - ieeexplore.ieee.org
Edge Computing (MEC) paradigm is considered a potential solution towards achieving URLLC
in vehicular networks… computing capabilities within Radio Access Network (RAN) close to …

[HTML][HTML] Analysis of mobile edge computing for vehicular networks

ZW Lamb, DP Agrawal - Sensors, 2019 - mdpi.com
… In this work, we propose a contextual architecture for mobile edge-computing in vehicular
networks (CAMEVAN) that seeks to delegate computational tasks in a more efficient way. Our …

Edge-assisted vehicular networks security

JA Onieva, R Rios, R Roman… - IEEE Internet of Things …, 2019 - ieeexplore.ieee.org
… At the core of such transportation systems, we can find a communication infrastructure
known as vehicular networks (VNs). VNs can help minimize the risk of accidents, thanks to …

Collaborative vehicular edge computing networks: Architecture design and research challenges

R Xie, Q Tang, Q Wang, X Liu, FR Yu, T Huang - IEEE Access, 2019 - ieeexplore.ieee.org
… and storage capabilities of the vehicular network can be further … vehicular edge computing
network (CVECN) architecture. We first review the work related to MEC and vehicular networks

Deep reinforcement learning for collaborative edge computing in vehicular networks

M Li, J Gao, L Zhao, X Shen - … Communications and Networking, 2020 - ieeexplore.ieee.org
vehicular applications, such as intelligent path planning and safety applications. In this
paper, a collaborative edge … and improve service reliability for vehicular networks. First, a task …

Mobile edge computing-enabled 5G vehicular networks: Toward the integration of communication and computing

Z Ning, X Wang, J Huang - IEEE vehicular technology …, 2018 - ieeexplore.ieee.org
… To support high-efficiency communications for MECenabled vehicular networks, this
section intends to maximize the total transmission rate by considering both cellular and RSU-based …

Enabling collaborative edge computing for software defined vehicular networks

K Wang, H Yin, W Quan, G Min - IEEE network, 2018 - ieeexplore.ieee.org
edge computing solutions. This article proposes a collaborative edge computing framework
for vehicular networks that aims to overcome the limited capabilities of a single edge

[HTML][HTML] An edge communication based probabilistic caching for transient content distribution in vehicular networks

D Gupta, S Rani, B Tiwari, TR Gadekallu - Scientific Reports, 2023 - nature.com
… on communications. IEEE, pp 1–6, 2022). Therefore, this study focuses on edge
communication in VCNs by firstly organizing a region based classification for vehicular network