Reducing the Cluster Overhead by Selecting Optimal and Stable Cluster Head through Genetic Algorithm

Abstract

This paper proposes an idea for selecting cluster heads which are not only stable but also reduces the overhead in maintaining the cluster architecture. Cluster maintenance overheads can be minimized by minimizing the number of generated clusters and the variance of the number of cluster members. The goal is to provide a generic and stable cluster structure for the upper layers. The optimization is done through genetic algorithm.