Implementation of Optimized Clustering using Genetic Algorithm in Wireless Sensor Network

This paper examines the optimization of the cluster head selection and increases the throughput of Wireless Sensor Networks (WSNs).. Wireless sensor networks are used in wide range of application such as target detection and tracking, disasters monitoring, industrial application, and medical appliances. The implementation of clustering schemes facilitates the performance of protocols by improving throughput, reliability and energy consumption. Cluster heads are elected from among the ordinary nodes which based on the residual energy. The nodes are backbone of the network and also to perform power control routing functions. Genetic algorithm (GA) is used to create energy efficient clusters for routing in wireless sensor networks. In our proposed genetic algorithm used for selection of cluster head based on fitness and average residual energy of the nodes.