A Fuzzy-Based Simulation System for Controlling Sensor Speed in Wireless Sensor Networks

In Wireless Sensor Networks (WSN), cluster formation and cluster head selection are critical issues. They can drastically affect the network's performance in different environments with different characteristics. In order to deal with this problem, we have proposed a Fuzzy-based system for cluster-head selection and controlling sensor speed in Wireless Sensor Networks (WSNs). The proposed system is constructed by 2 Fuzzy Logic Controllers (FLC). We use 4 input linguistic parameters for evaluating cluster-head decision probability in FLC1. Then, we use the output of FLC1 and two other linguistic parameters as input parameters of FLC2 to control sensor speed. By considering the moving speed of the sensor we are able to predict whether the node will leave or stay in the cluster. In this paper, we evaluate FLC2 by simulations and show that it has a good behavior.