Cross layer optimization of VANET routing with multi-objective decision making

Perera, Ovitigalage & Jayalath, Dhammika (2012) Cross layer optimization of VANET routing with multi-objective decision making. In Proceedings of ATNAC 2012 : Australasian Telecommunication Networks and Applications Conference, IEEE Xplore, Brisbane, Qld..

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Vehicular Ad-hoc Networks (VANET) have different characteristics compared to other mobile ad-hoc networks. The dynamic nature of the vehicles which act as routers and clients are connected with unreliable radio links and Routing becomes a complex problem. First we propose CO-GPSR (Cooperative GPSR), an extension of the traditional GPSR (Greedy Perimeter Stateless Routing) which uses relay nodes which exploit radio path diversity in a vehicular network to increase routing performance. Next we formulate a Multi-objective decision making problem to select optimum packet relaying nodes to increase the routing performance further. We use cross layer information for the optimization process. We evaluate the routing performance more comprehensively using realistic vehicular traces and a Nakagami fading propagation model optimized for highway scenarios in VANETs. Our results show that when Multi-objective decision making is used for cross layer optimization of routing a 70% performance increment can be obtained for low vehicle densities on average, which is a two fold increase compared to the single criteria maximization approach.

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2 citations in Scopus
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ID Code: 55146
Item Type: Conference Paper
Refereed: Yes
Additional Information: Session best paper authors will be invited to submit a paper to the Australian Journal of Electrical and Electronics Engineering June 2013 special issue on telecommunication networks and applications.
Keywords: VANETs, Multi-Objective Decision Making, Routing, Cross-layer optimization, GPSR
Subjects: Australian and New Zealand Standard Research Classification > TECHNOLOGY (100000) > COMMUNICATIONS TECHNOLOGIES (100500) > Wireless Communications (100510)
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2012 please consult the author
Deposited On: 28 Nov 2012 01:09
Last Modified: 18 Feb 2013 11:38

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