Dynamic clustering for Wireless Sensor Networks: A Neuro-Fuzzy technique approach

The most important challenge in Wireless Sensor Networks (WSNs) is to improve the operational efficiency in highly resource constrained environment based on dynamic and unpredictable behaviour of network parameters and applications requirement. In this paper we have proposed a method for clustering and their analysis to study the cluster formation, their behaviour with respect to the system parameters and applications requirement. The technique involves the adoption of computational intelligence to form clustering. We have used Nero-Fuzzy technique to obtain Dynamic clustering. The simulations are carried out to evaluate the performance of the proposed method with respect to different parameters of sensor node and applications requirement.