Energy Efficient Genetic Algorithm Based Clustering Technique for Prolonging the Life Time of Wireless Sensor Network
Journal of Networking and Communication Systems (JNACS) · 2018
Wireless Sensor network plays a vital role in most of the real world applications and has gained a lot of interest in terms of research.In a WSN, the nodes are found to be positioned in remote area to observe, detect or gather data from that location and send the collected data to the receiver at another location.The main concern in this process is that a lot of energy is wasted during the process of data transmission from the source node to the destination.Since each node is provided with a limited power supply this cause the node to discharge its battery completely and thereby making the node to dead state.By adopting the suitable cluster head selection technique for data transmission this issue of energy dissipation can be reduced.In this paper we propose a concept of Primary Cluster Head (PCH), along with a genetic algorithm based selection process.The overall process includes a process of cluster formation, Cluster Head (CH) selection and Primary Cluster Head (PCH) selection among the CH using genetic algorithm.The complete process is simulated using NS-2 simulator and the results are compared with similar existing techniques for evaluating our better performance.