CLUSTER-HEAD SELECTION USING FUZZY CLUSTERING ALGORITHM

A Sensor is a device that responds and detects some type of input from both the physical or environmental conditions, such as pressure, heat, light, etc. The output of the sensor is generally an electrical signal that is transmitted to a controller for further processing.

Wireless Sensor Networks (WSN) is composed of a collection of devices that transfer data through signals with each other through a wireless medium. A WSN comprise of a huge quantity of clusters of sensor nodes that can inter communicate with all nodes and with the base station by means of wireless link. All clusters are corresponding to a cluster head to provide a direct communication to the base station and in addition with other cluster heads. Cluster head selection turns out to be a considerable problem because of its dynamic circumstance. In this paper, proposed a novel technique to enhance the LEACH protocol by using Fuzzy Possibilistic Clustering Algorithm (FPCM). The experimental observation reveals that the FPCM based cluster- head selection algorithm performs better than the cluster head election approach used in LEACH and can enable the network lifetime longer.