Improved Wireless Sensor Network Lifetime by Fuzzy Logic Based Dynamic Clustering with Global Energy Balance

Abstract

Wireless Sensor Networks (WSNs) are systems which contain sensing units which might be distributed in the ad-hoc manner. These sensing units operate together to be able to sense a some physical phenomena and then gathered data is processed to receive appropriate output. This paper improves the performance of the global energy balance protocol using improved fuzzy based cluster head selection. The entire objective of the work would be to improve the network life-time by utilizing the integrated global energy balance protocol that will raises the network life-time by using fuzzy rule based techniques and also optimal sized of cluster creation mechanisms. The assessment between exiting and proposed protocol done based upon well known performance parameters there are stability period, half node dead time, network life time and throughput. It is observed that proposed protocol outperforms global energy balance for WSNs.