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

Cluster formation and cluster head selection are important problems in sensor network applications and can drastically affect the network´s communication energy dissipation. However, selecting the cluster head is not easy in different environments which may have different characteristics. In order to deal with this problem, we have proposed an algorithm for controlling sensor speed in wireless Sensor Networks (WSNs). The proposed system is based on fuzzy logic. The proposed system uses 3 input linguistic parameters: Remaining Power of Sensor (RPS), Degree of Number of Neighbor Nodes (D3N) and Sensor Speed (SS) for evaluating cluster-head decision probability. Then, we use this probability as a fuzzy input 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. We evaluate the proposed system by simulations and show that it has a good behavior.