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.