Ant-based topology convergence algorithms for resource management in VANETs

Authors:
Frank Chiang;Zenon Chaczko;Johnson Agbinya;Robin Braun
Affiliations:
Faculty of Engineering, University of Technology Sydney, Broadway, NSW, Australia;Faculty of Engineering, University of Technology Sydney, Broadway, NSW, Australia;Faculty of Engineering, University of Technology Sydney, Broadway, NSW, Australia;Faculty of Engineering, University of Technology Sydney, Broadway, NSW, Australia
Venue:
EUROCAST'07 Proceedings of the 11th international conference on Computer aided systems theory
Year:
2007

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Abstract

Frequent changes caused by IP-connectivity and user-oriented services in Inter-Vehicular Communication Networks (VCNs) set great challenges to construct reliable, secure and fast converged topology formed by trusted mobile nodes and links. In this paper, based on a new metric for network performance called topology convergence and a new Object-Oriented Management Information Base - active MIB (O:MIB), we propose an ant-based topology convergence algorithm that applies the swarm intelligence metaphor to find the near-optimal converged topology in VCNs which maximizes system performance and guarantee a further sustainable and maintainable systemtopology to achieve Quality of Service (QoS) and system throughput. This algorithm is essentially a distributed approach in that each node collects information from local neighbor nodes by invoking the methods fromeach localized O:MIB, through the sending and receiving of ant packets from each active node, to find the appropriate nodes to construct a routing path. Simulation results show this approach can lead to a fast converged topology with regards to multiple optimization objectives, as well as scale to network sizes and service demands.