Cross-layer architecture for congestion control in Vehicular Ad-hoc Networks

Puthal, D; Mir, ZH; Filali, F; Menouar, H

Cross-layer architecture for congestion control in Vehicular Ad-hoc Networks

Puthal, D

Mir, ZH Filali, F Menouar, H

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Publication Type:: Conference Proceeding
Citation:: 2013 International Conference on Connected Vehicles and Expo, ICCVE 2013 - Proceedings, 2013, pp. 887 - 892
Issue Date:: 2013-01-01

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Field	Value	Language
dc.contributor.author	Puthal, D https://orcid.org/0000-0002-8332-278X	en_US
dc.contributor.author	Mir, ZH	en_US
dc.contributor.author	Filali, F	en_US
dc.contributor.author	Menouar, H	en_US
dc.date.issued	2013-01-01	en_US
dc.identifier.citation	2013 International Conference on Connected Vehicles and Expo, ICCVE 2013 - Proceedings, 2013, pp. 887 - 892	en_US
dc.identifier.uri	http://hdl.handle.net/10453/120782
dc.description.abstract	Vehicular Ad-hoc Networks (VANETs) are special kind of Mobile Ad-hoc Networks (MANETs). The distinctive characteristics of the VANETs include high speed of vehicular nodes and high variability in node density. Congestion detection and control protocols have been proved to be an efficient method for improving network performance and are well studied for the MANET environment. However, they often result in sub-optimal network performance for the vehicular network environment due to the specialized characteristics of VANET. In this paper we present an adaptive and distributed cross-layer congestion detection and control protocol for the VANET environment. During the congestion detection phase, information from each layer of the network protocol stack is combined and mapped on to congestion levels. In the subsequent congestion control phase parameters like contention window, transmission rate and transmit power are jointly adjusted to improve on the network performance. The effectiveness of the proposed model is evaluated through mathematical analysis and simulation-based studies. © 2013 IEEE.	en_US
dc.relation.ispartof	2013 International Conference on Connected Vehicles and Expo, ICCVE 2013 - Proceedings	en_US
dc.relation.isbasedon	10.1109/ICCVE.2013.6799921	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Cross-layer architecture for congestion control in Vehicular Ad-hoc Networks	en_US
dc.type	Conference Proceeding
utslib.for	0805 Distributed Computing	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 Information, Systems and Modelling
utslib.copyright.status	closed_access	*
pubs.publication-status	Published	en_US

Abstract:

Vehicular Ad-hoc Networks (VANETs) are special kind of Mobile Ad-hoc Networks (MANETs). The distinctive characteristics of the VANETs include high speed of vehicular nodes and high variability in node density. Congestion detection and control protocols have been proved to be an efficient method for improving network performance and are well studied for the MANET environment. However, they often result in sub-optimal network performance for the vehicular network environment due to the specialized characteristics of VANET. In this paper we present an adaptive and distributed cross-layer congestion detection and control protocol for the VANET environment. During the congestion detection phase, information from each layer of the network protocol stack is combined and mapped on to congestion levels. In the subsequent congestion control phase parameters like contention window, transmission rate and transmit power are jointly adjusted to improve on the network performance. The effectiveness of the proposed model is evaluated through mathematical analysis and simulation-based studies. © 2013 IEEE.

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http://hdl.handle.net/10453/120782