Clustering using fuzzy logic in wireless sensor networks

Efficient use of energy resources is the one of most challenging research issue in wireless sensor networks, because the battery limits the lifetime of the sensor nodes. To enhance the energy efficiency the clustering hierarchical architecture is most favorable approach. In clustering, the network is divided into sections known as clusters and each cluster selects a leader among the cluster members according to set of rules define by user. Only the leader is allow to communicate with base station. LEACH is the first dynamic and self-organized clustering in wireless sensor networks. It use probabilistic model for cluster head election. After LEACH many techniques has been proposed and inspired from LEACH. These techniques has defects such as large overhead generation and uncertainty in selecting cluster heads. In order to reduce these demerits fuzzy logic based clustering techniques proposed such as CHEF (cluster head election mechanism using fuzzy logic). Fuzzy logic based techniques generate lower overhead and fuzzy logic reduces uncertainties in cluster head selection. In this paper we introduce new clustering technique using fuzzy logic. We use fuzzy logic to calculate the value of timer, which is responsible for forming clusters in the network. We performed simulation in MATLAB and results are compared with LEACH and CHEF clustering techniques. Simulation results shows that the proposed clustering technique is more energy efficient than the LEACH and CHEF in term of network lifetime.