A Fuzzy-Based Cluster-Head Selection System forWSNs Considering Different Parameters
Qi Wang, Hironori Ando, Elis Kulla, Leonard Barolli, Arjan Durresi · 2012
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 different from our previous systems 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. 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.