SPATIAL CORRELATION BASED CLUSTERING ALGORITHM FOR RANDOM AND UNIFORM TOPOLOGY IN WSNS

Bhavana H.T, Jayanthi K Murthy

Abstract: In Wireless Sensor Networks (WSN) sensor nodes with similar readings can be grouped such that, it is enough to report a single reading from the entire group. A representative node is selected from each cluster to do the reporting job. This helps to increase the battery life of sensor nodes. However, efficiently identifying sensor groups and their representative nodes is a challenging task. In this paper, a distributed algorithm is proposed to determine a set of representative nodes which exploits the tradeoff between data quality and energy consumption. In this paper, we group the sensor nodes based on their inherent spatial and data correlation in WSN. The proposed clustering algorithm is applied for uniform and random topology of sensor network. The results based on different metrics such as average number of clusters formed, energy consumption and average variation in cluster size are compared for both topologies.

Keywords: CORRELATION BASED CLUSTERING ALGORITHM FOR RANDOM

DOI: https://doi.org/10.15623/ijret.2014.0306015