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Mobile Networks and Applications
Erschienen in: Mobile Networks and Applications 3/2021

25.07.2020

Vehicular Edge Computing and Networking: A Survey

verfasst von: Lei Liu, Chen Chen, Qingqi Pei, Sabita Maharjan, Yan Zhang

Erschienen in: Mobile Networks and Applications | Ausgabe 3/2021

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Abstract

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 requirements on response time and network bandwidth. In order to deal with these challenges, Mobile Edge Computing (MEC) is regarded as a promising solution. MEC pushes powerful computational and storage capacities from the remote cloud to the edge of networks in close proximity of vehicular users, which enables low latency and reduced bandwidth consumption. Driven by the benefits of MEC, many efforts have been devoted to integrating vehicular networks into MEC, thereby forming a novel paradigm named as Vehicular Edge Computing (VEC). In this paper, we provide a comprehensive survey of state-of-art research on VEC. First of all, we provide an overview of VEC, including the introduction, architecture, key enablers, advantages, challenges as well as several attractive application scenarios. Then, we describe several typical research topics where VEC is applied. After that, we present a careful literature review on existing research work in VEC by classification. Finally, we identify open research issues and discuss future research directions.
Vorheriger Artikel Robust Network Intrusion Detection Scheme Using Long-Short Term Memory Based Convolutional Neural Networks
Nächster Artikel Editorial: 5G Wireless Communication Systems and Advanced Image Processing

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Metadaten
Titel
Vehicular Edge Computing and Networking: A Survey
verfasst von
Lei Liu
Chen Chen
Qingqi Pei
Sabita Maharjan
Yan Zhang
Publikationsdatum
25.07.2020
Verlag
Springer US
Erschienen in
Mobile Networks and Applications / Ausgabe 3/2021
Print ISSN: 1383-469X
Elektronische ISSN: 1572-8153
DOI
https://doi.org/10.1007/s11036-020-01624-1

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