GMMC: Gaussian Mixture Model Based Clustering Hierarchy Protocol in Wireless Sensor Network

Nowadays energy efficiency is a major issue for distributed wireless sensor networks (WSNs) deployed in varied environments. The energy efficient cluster-based protocols play a vital role for energy saving in hierarchical wireless sensor networks. In modelling, probability plays its important role. The probability definition is different for different approaches. The present paper is an approach to incorporate a model in the form of Gaussian Mixture Model (GMM) instead of an algorithm or a formula. The present approach seems to improve the performance when compared to existing algorithms with their results. Computer simulations are carried out to demonstrate and compare the performance of the proposed algorithms.