survey

Vehicular Edge Computing: Architecture, Resource Management, Security, and Challenges

Authors:
Rodolfo Meneguette

University of São Paulo, Sao Carlos, Sao Paulo, Brazil

University of São Paulo, Sao Carlos, Sao Paulo, Brazil

0000-0003-2982-4006
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,
Robson De Grande

Brock University, Ontario, Canada

Brock University, Ontario, Canada

0000-0001-9448-2036
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,
Jo Ueyama

University of São Paulo, Sao Carlos, Sao Paulo, Brazil

University of São Paulo, Sao Carlos, Sao Paulo, Brazil

0000-0002-5591-3750
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,
Geraldo P. Rocha Filho

University of Brasília, Federal District, Brazil

University of Brasília, Federal District, Brazil

0000-0001-6795-2768
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,
Edmundo Madeira

University of Campinas, Campinas, Brazil

University of Campinas, Campinas, Brazil

0000-0002-1180-2637
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Authors Info & Claims

ACM Computing Surveys Volume 55 Issue 1Article No.: 4pp 1–46https://doi.org/10.1145/3485129

Published:23 November 2021Publication History

ACM Computing Surveys

Abstract

Vehicular Edge Computing (VEC), based on the Edge Computing motivation and fundamentals, is a promising technology supporting Intelligent Transport Systems services, smart city applications, and urban computing. VEC can provide and manage computational resources closer to vehicles and end-users, providing access to services at lower latency and meeting the minimum execution requirements for each service type. This survey describes VEC’s concepts and technologies; we also present an overview of existing VEC architectures, discussing them and exemplifying them through layered designs. Besides, we describe the underlying vehicular communication in supporting resource allocation mechanisms. With the intent to overview the risks, breaches, and measures in VEC, we review related security approaches and methods. Finally, we conclude this survey work with an overview and study of VEC’s main challenges. Unlike other surveys in which they are focused on content caching and data offloading, this work proposes a taxonomy based on the architectures in which VEC serves as the central element. VEC supports such architectures in capturing and disseminating data and resources to offer services aimed at a smart city through their aggregation and the allocation in a secure manner.

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Published in
ACM Computing Surveys Volume 55, Issue 1
January 2023
860 pages
ISSN:0360-0300
EISSN:1557-7341
DOI:10.1145/3492451
Editor:
Albert Zomaya
University of Sydney, Australia
Issue’s Table of Contents
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Publication History
- Published: 23 November 2021
- Revised: 1 August 2021
- Accepted: 1 August 2021
- Received: 1 November 2020
Published in csur Volume 55, Issue 1

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Vehicular Edge Computing: Architecture, Resource Management, Security, and Challenges

ACM Computing Surveys

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