A Fuzzy-Based Cluster-Head Selection System for WSNs Considering Sensor Node Movement

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 of the cluster head is not easy in different environments which may have different characteristics. In order to deal with this problem, we propose a power reduction algorithm for sensor networks based on fuzzy logic and node movement. The proposed system uses 3 input linguistic parameters: remaining battery power of sensor, degree of number of neighbor nodes and sensor speed for cluster-head decision. By considering the moving speed of the sensor node, we are able to find the nodes which leave the cluster. We evaluate the proposed system by simulations and show that the proposed system has a good cluster-head selection.