A Fuzzy-Based Cluster-Head Selection System for WSNs: A Comparison Study for Static and Mobile Sensors

Abstract

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 a power reduction algorithm for sensor networks based on fuzzy logic and node movement. The proposed system uses 4 input linguistic parameters: Remaining Power of Sensor (RPS), Degree of Number of Neighbor Nodes (D3N), Distance from Cluster Centroid (DCC) and Sensor Speed (SS) for cluster-head decision. We consider for evaluation two cases: when sensors are static and when sensors move. By considering the moving speed of the sensor we are able to predict if the node will leave the cluster. We evaluate the proposed system by simulations and show that it has a good cluster-head selection.