A Novel Clustering using GA adaptive cluster Niching Optimization

Abstract

We propose a Novel Niching Genetic algorithm (GA) for optimized clustering in wireless sensor networks. Clustering protocol is needed for achieving efficient energy utilization and hence prolonged network lifetime in wireless sensor networks. Though conventional GA has been used for optimizing cluster head selection but we propose a nicihing approach with GA to find optimized sub-clustering for load balancing incase of uneven clusters. Results show a significant improvement in number of alive nodes and energy consumption of nodes. Cluster Heads are regularly optimized using GA based on fitness function value. Decision for niching is based on energy consumption, distance from base station and average cluster node count.