Quality Of Service Based Secure Clustering For Mobile Adhoc Networks Using Particle Swarm Optimization Based Clustering Algorithm
Full Text | |
Author | Merin Achankunju, R. Pushpalakshmi |
ISSN | 2306-708X |
On Pages | 7-12 |
Volume No. | 2 |
Issue No. | 3 |
Issue Date | ------- |
Publishing Date | ------ |
Keywords | Mobile adhoc networks (MANET), Multi-objective particle swarm optimization(MOPSO), Clustering; Cluster-head (CH) |
Abstract
A mobile ad hoc network (MANET) is dynamic natured wirelessly connected nodes and has no fixed infrastructure. Efficiency of energy is one of the main requirements of a MANET. Clustering in MANETs can provide an energy-efficient solution. Clustering involves selection of cluster-heads (CHs) for each cluster and fewer CHs means greater energy efficiency. In this work a multi-objective particle swarm optimization (MOPSO) algorithm is proposed to optimize the number of clusters in an ad hoc network. The proposed algorithm takes into consideration the nodes QoS parameters: packet drop rate, battery power of node and available bandwidth. The main advantage of this method is that it provides multiple solutions at a time. These solutions are achieved through optimal Pareto front. MATLAB and NS2 is used for simulation of the proposed approach. The performance of the proposed approach is explained by varying the number of clusters and transmission range of nodes.
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