VPBC: A varying probability-based clustering for energy enhancement in WSN

Abstract

Nowadays, the performance of wireless sensor network (WSN) in a variety of applications plays a pivotal role in the research field and variety of parameters is used for its functioning. While designing WSN, some issues may arise out of which one issue is energy consumption. Energy efficiency is a serious issue for distributed WSNs deployed in varied environments. The energy efficient cluster-based protocols play a vital role for energy saving in hierarchical WSN. In modelling, probability plays its important role. While selecting the CH at the beginning of the network, one important parameter used is distance. The probability definition is different for different approaches. Most of the protocols consider probability of all the nodes to become CH at the beginning of the network is fixed but the present paper is an approach to consider varying probability of the nodes to become CH at the beginning on the basis of distance from BS. These results show that the present approach has improved performance when compared to existing algorithms with their results. Simulations are carried out to demonstrate and compare the performance of the proposed algorithms.