A New Clustering Algorithm Using Fuzzy Logic In Wireless Sensor Networks

The network lifetime is one of the important factors in wireless sensor networks and is dependent on the network energy. Energy source in the network is very limited. In order to increase the network lifetime, energy saving should be considered. Clustering method is the one of the ways to consume energy efficiently that causes uniform load distribution and balanced energy consumption. In this essay, a new method for optimal selecting cluster head and clustering is presented using fuzzy logic. In the proposed method, a radius can be assigned for sensor with the help of fuzzy rules and fuzzy variables, energy and distance. Then cluster head sensors are elected with the help of fuzzy rules and energy and number of neighboring sensors as two fuzzy variables. Thus, the best sensors are selected as a Cluster head. Furthermore, with the help of obtained radius, cluster size is controlled with regard to distance from the base station. It means that clusters close to the base station are larger than far clusters. Therefore, in the proposed protocol the network energy consumption, which is uniformly distributed in the network, is reduced. MATLAB simulation results indicate that the proposed protocol managed to increase network lifetime more than LEACH and EECS protocols. KeywordsCluster head, clustering, fuzzy logic, wireless sensor networks, network lifetime, sensor (node)