Fuzzy Logic Based Cluster Head Selection in Wireless Sensor Networks
K. Akila, M. Geetha · SSRN Electronic Journal · 2019
Wireless Sensor Networks (WSN) become more popular due to the wide range of applications in various fields. WSN consists of a group of sensor nodes deployed in the region of interest. Energy efficiency is the major challenge while deigning WSN. Clustering is one of the important energy efficient techniques. Clustering is the process of grouping the nodes into clusters. A cluster consists of a Cluster Head (CH) and number of cluster members. CH is responsible for collecting data from cluster members, aggregating it and forwarding the aggregated data to Base Station (BS). So, CH selection plays a vital role to preserve energy in WSN. Many researchers are carried out to select the proper CHs. CH selection influences the overall performance of the WSN. In this paper, a dynamic CH selection using Fuzzy logic is proposed. The fuzzy input parameters are residual energy and the distance to BS. The output parameter is the probability of becoming CH. The proposed method is compared to the well known clustering protocol LEACH. Simulation results shows that the proposed method produces better results than LEACH interms of energy consumption and network lifetime.