A Comprehensive Survey of the Key Technologies and Challenges Surrounding Vehicular Ad Hoc Networks

Author:

Xia Zhenchang1ORCID,Wu Jia2ORCID,Wu Libing3,Chen Yanjiao4,Yang Jian2,Yu Philip S.5

Affiliation:

1. Wuhan University, Xidian University, China; Macquarie University, Sydney, NSW, Australia

2. Macquarie University, Sydney, NSW, Australia

3. Wuhan University, Xidian University, Shaanxi, China

4. Wuhan University, Wuhan, Hubei, China

5. University of Illinois at Chicago, Chicago, USA

Abstract

Vehicular ad hoc networks ( VANETs ) and the services they support are an essential part of intelligent transportation. Through physical technologies, applications, protocols, and standards, they help to ensure traffic moves efficiently and vehicles operate safely. This article surveys the current state of play in VANETs development. The summarized and classified include the key technologies critical to the field, the resource-management and safety applications needed for smooth operations, the communications and data transmission protocols that support networking, and the theoretical and environmental constructs underpinning research and development, such as graph neural networks and the Internet of Things. Additionally, we identify and discuss several challenges facing VANETs, including poor safety, poor reliability, non-uniform standards, and low intelligence levels. Finally, we touch on hot technologies and techniques, such as reinforcement learning and 5G communications, to provide an outlook for the future of intelligent transportation systems.

Funder

National Natural Science Foundation of China

Fundamental Research Funds for Central Universities

Opening Foundation of the State Key Laboratory of Integrated Services Networks

Science and Technology Planning Project of Shenzhen

NSF

ARC DECRA Project

Publisher

Association for Computing Machinery (ACM)

Subject

Artificial Intelligence,Theoretical Computer Science

Reference170 articles.

1. Prediction-based protocols for vehicular Ad Hoc Networks: Survey and taxonomy;Abdel-Halim Islam Tharwat;Computer Networks,2018

2. A route segmented broadcast protocol based on RFID for emergency message dissemination in vehicular ad-hoc networks;Afrashteh Mohammad;IEEE Transactions on Vehicular Technology,2020

3. Cooperative vehicular networking: A survey;Ahmed Ejaz;IEEE Transactions on Intelligent Transportation Systems,2018

4. Decision fusion in distributed cooperative wireless sensor networks;Al-Jarrah Mohammad A.;IEEE Transactions on Vehicular Technology,2019

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