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

Xia, Z; Wu, J; Wu, L; Wu, L; Chen, Y; Yang, J; Yu, PS

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

Xia, Z Wu, J Wu, L Wu, L Chen, Y Yang, J Yu, PS

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Publisher:: Association for Computing Machinery (ACM)
Publication Type:: Journal Article
Citation:: ACM Transactions on Intelligent Systems and Technology, 2021, 12, (4), pp. 1-30
Issue Date:: 2021-06-08

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Field	Value	Language
dc.contributor.author	Xia, Z
dc.contributor.author	Wu, J
dc.contributor.author	Wu, L
dc.contributor.author	Wu, L
dc.contributor.author	Chen, Y
dc.contributor.author	Yang, J
dc.contributor.author	Yu, PS
dc.date.accessioned	2022-02-19T01:58:19Z
dc.date.available	2022-02-19T01:58:19Z
dc.date.issued	2021-06-08
dc.identifier.citation	ACM Transactions on Intelligent Systems and Technology, 2021, 12, (4), pp. 1-30
dc.identifier.issn	2157-6904
dc.identifier.issn	2157-6912
dc.identifier.uri	http://hdl.handle.net/10453/154691
dc.description.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.
dc.language	en
dc.publisher	Association for Computing Machinery (ACM)
dc.relation.ispartof	ACM Transactions on Intelligent Systems and Technology
dc.relation.isbasedon	10.1145/3451984
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0801 Artificial Intelligence and Image Processing, 0806 Information Systems
dc.title	A Comprehensive Survey of the Key Technologies and Challenges Surrounding Vehicular Ad Hoc Networks
dc.type	Journal Article
utslib.citation.volume	12
utslib.for	0801 Artificial Intelligence and Image Processing
utslib.for	0806 Information Systems
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	closed_access	*
dc.date.updated	2022-02-19T01:58:17Z
pubs.issue	4
pubs.publication-status	Published
pubs.volume	12
utslib.citation.issue	4

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.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/154691