A New Fuzzy-based Cluster-Head Selection System for WSNs

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 have proposed a power reduction algorithm for sensor networks based on fuzzy logic and number of neighbor nodes. In this paper, we propose a new fuzzy-based cluster-head selection system to improve the performance of the previous system. The proposed system in different from previous system uses 4 input linguistic parameter for cluster-head decision. We evaluate the proposed system by simulations and show that the proposed system has a good cluster-head selection.