An Integrated Fuzzy Logic System for Cluster-Head Selection and Sensor Speed Control in WSNs

In Wireless Sensor Networks (WSN), cluster formation and cluster head selection have a lot of advantages, such as useful energy consumption, reducing communication overhead, transmit aggregated data and so on. They can affect the network´s performance in different environments with different characteristics. In this paper, we have proposed a fuzzy-based algorithm for controlling sensor speed in Wireless Sensor Networks (WSNs). We use 4 input linguistic parameters for evaluating cluster-head decision probability. Then, we use this probability as a fuzzy input to control sensor speed. By considering the moving speed of the sensor we are able to predict whether the node will leave or stay in the cluster. We evaluate the proposed system by simulations and show that the system is reliable.