Performance Comparison of Distance and Density based Clustering Algorithm (DDCSA) V/s Normal Technique to analyze Power Consumption and Network Lifetime of Wireless Sensor Networks

Abstract

Aggregating data of several nodes in a wireless sensor networks allows us to accurately monitor a remote environment. However, low-cost battery-powered nodes are often used to implement such networks, resulting in tight energy and communication bandwidth constraints. We have found that sensor node distances and densities are key factors in clustering. The aim of this paper is to introduce a new protocol to reduce overall power consumption, extend network life time in wireless sensor networks. In this paper, Normal Technique and Distance and Density based Clustering Algorithm (DDCSA) technique is compared on various parameters. Simulation results show a better performance of DDCSA as compared to Normal Technique