WSN is the collection of sensor nodes which are wirelessly connected to each other. The main task of the sensor nodes is to retrieve/sense the information from their surrounding and provide this information to the end user. Sensor nodes are very small in size and their batteries have very low power. So, we have to make energy efficient algorithms for clustering to increase the lifetime of battery as well as WSN. Cluster Head (CH) election is very crucial part in clustering because it affects the performance of WSN. Clustering algorithms revolves arounds the Custer Head selection process. In this paper, fuzzy logic is used to calculate the Resultant factor with the help of Remaining energy, Distance to sink and Centrality of the node. Then we choose 10% nodes which have highest value of Resultant factor and make them Cluster Head.
Volume 12 | 08-Special Issue
Pages: 1260-1269
DOI: 10.5373/JARDCS/V12SP8/20202647