Evaluation of an Intelligent Fuzzy-Based Cluster Head Selection System for WSNs Using Different Parameters

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 our previous work, in order to deal with this problem, we proposed a power reduction algorithm for sensor networks based on fuzzy logic and number of neighbour nodes. We call this algorithm F3N. In this paper, we evaluate F3N and LEACH by many simulation results. We evaluate the performance of our proposed system for tree different parameters: Remaining Battery Power of Sensor (RPS), Degree of Number of Neighbour Nodes (D3N), and Distance from Cluster Centroid (DCC). From the simulation results, we found that the probability of a sensor node to be a cluster head is increased with increase of number of neighbour nodes and remained battery power and is decreased with the increase of distance from the cluster centroid.