Title: A swarm intelligence-based approach for addressing network partitioning constraints in mobile ad hoc networks

Authors: S. Sumathy; R. Saravanan

Addresses: School of Information Technology and Engineering, VIT University, Vellore, India ' School of Information Technology and Engineering, VIT University, Vellore, India

Abstract: Recent trends in wireless communication show an increase in use of mobile devices to exchange information. Due to frequent mobility, there is a possibility that the devices in the network may move out of the transmission range and may fail to connect to the network. To ensure network connectivity in these situations, researchers have proposed many methodologies to determine optimal location for placing mobile forwarding nodes such as particle swarm optimisation, ant colony etc., that helps in establishing routes effectively. A method that establishes an optimal route using genetic algorithm after determining an effective location using particle swarm optimisation is proposed. The proposed work focuses on integrating the benefits of particle swarm optimisation to determine optimal location for placing mobile forwarding node with genetic algorithm to establish an optimal route to destination. Performance of the proposed methodology when analysed using the simulation studies reveals that the packet drop rate is reduced and throughput is improved significantly.

Keywords: network partitioning; particle swarm optimisation; PSO; genetic algorithms; mobile forwarding nodes; MFNs; network disjoint; swarm intelligence; mobile ad hoc networks; MANETs; mobile networks; node location; simulation; packet drop rate; throughput.

DOI: 10.1504/IJCNDS.2015.067656

International Journal of Communication Networks and Distributed Systems, 2015 Vol.14 No.2, pp.164 - 184

Received: 02 Apr 2014
Accepted: 17 May 2014
Published online: 31 Mar 2015 *

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