Throughput of Infrastructure-Based Cooperative Vehicular Networks

Chen, J; Mao, G; Li, C; Zafar, A; Zomaya, AY

Throughput of Infrastructure-Based Cooperative Vehicular Networks

Chen, J

Mao, G

Li, C Zafar, A

Zomaya, AY

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Publication Type:: Journal Article
Citation:: IEEE Transactions on Intelligent Transportation Systems, 2017, 18 (11), pp. 2964 - 2979
Issue Date:: 2017-11-01

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Field	Value	Language
dc.contributor.author	Chen, J https://orcid.org/0000-0003-3072-1872	en_US
dc.contributor.author	Mao, G https://orcid.org/0000-0002-3598-4949	en_US
dc.contributor.author	Li, C	en_US
dc.contributor.author	Zafar, A https://orcid.org/0000-0001-8382-7625	en_US
dc.contributor.author	Zomaya, AY	en_US
dc.date.available	2017-01-25	en_US
dc.date.issued	2017-11-01	en_US
dc.identifier.citation	IEEE Transactions on Intelligent Transportation Systems, 2017, 18 (11), pp. 2964 - 2979	en_US
dc.identifier.issn	1524-9050	en_US
dc.identifier.uri	http://hdl.handle.net/10453/86909
dc.description.abstract	© 2011 IEEE. In this paper, we provide the detailed analysis of the achievable throughput of infrastructure-based vehicular network with a finite traffic density under a cooperative communication strategy, which explores the combined use of vehicle-to-infrastructure (V2I) communications, vehicle-to-vehicle (V2V) communications, the mobility of vehicles, and cooperations among vehicles and infrastructure to facilitate the data transmission. A closed form expression of the achievable throughput is obtained, which reveals the relationship between the achievable throughput and its major performance-impacting parameters, such as distance between adjacent infrastructure points, the radio ranges of infrastructure and vehicles, the transmission rates of V2I and V2V communications, and vehicular density. Numerical and simulation results show that the proposed cooperative communication strategy significantly increases the throughput of vehicular networks, compared with its non-cooperative counterpart, even when the traffic density is low. Our results shed insight on the optimum deployment of vehicular network infrastructure and the optimum design of cooperative communication strategies in vehicular networks to maximize the throughput.	en_US
dc.relation.ispartof	IEEE Transactions on Intelligent Transportation Systems	en_US
dc.relation.isbasedon	10.1109/TITS.2017.2663434	en_US
dc.subject.classification	Logistics & Transportation	en_US
dc.title	Throughput of Infrastructure-Based Cooperative Vehicular Networks	en_US
dc.type	Journal Article
utslib.citation.volume	11	en_US
utslib.citation.volume	18	en_US
utslib.for	0905 Civil Engineering	en_US
utslib.for	1507 Transportation and Freight Services	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CRIN - Realtime Information Networks
pubs.organisational-group	/University of Technology Sydney/Students
utslib.copyright.status	open_access
pubs.issue	11	en_US
pubs.publication-status	Published	en_US
pubs.volume	18	en_US

Abstract:

© 2011 IEEE. In this paper, we provide the detailed analysis of the achievable throughput of infrastructure-based vehicular network with a finite traffic density under a cooperative communication strategy, which explores the combined use of vehicle-to-infrastructure (V2I) communications, vehicle-to-vehicle (V2V) communications, the mobility of vehicles, and cooperations among vehicles and infrastructure to facilitate the data transmission. A closed form expression of the achievable throughput is obtained, which reveals the relationship between the achievable throughput and its major performance-impacting parameters, such as distance between adjacent infrastructure points, the radio ranges of infrastructure and vehicles, the transmission rates of V2I and V2V communications, and vehicular density. Numerical and simulation results show that the proposed cooperative communication strategy significantly increases the throughput of vehicular networks, compared with its non-cooperative counterpart, even when the traffic density is low. Our results shed insight on the optimum deployment of vehicular network infrastructure and the optimum design of cooperative communication strategies in vehicular networks to maximize the throughput.

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http://hdl.handle.net/10453/86909