Fuzzy C-Means Clustering Based Energy Aware Wireless Sensor Networks

Wireless sensor network (WSN) is a group of sensor nodes that provides effective long haul data transmission. It can be used for various large scale applications such as security, health-care, industry automation, agriculture, environment and habitat monitoring etc. This work focuses on a comparative analysis for improving the lifetime of Wireless Sensor Network (WSN) and creating an energy efficient communication in WSN. As clustering techniques provides efficient way to reduce energy consumption, this analysis gives various clustering algorithms like to maximize the lifetime of WSN. The energy and life time of Low-Energy Adaptive clustering Hierarchy (LEACH), K-means, Fuzzy C-means algorithms are analyzed based on their characteristics for different scenarios. The simulation results shows that Fuzzy C-Means algorithm has competing performance than LEACH.