ENERGY EFFICIENT ADAPTIVE WEIGHTED FUZZY CLUSTERING BASED ROUTING PROTOCOL IN SENSOR NETWORKS

Abstract — Clustering approach provides a vital role for ease of data transmission through cluster head node. Clustering algorithm depends upon the characteristics such as distance, battery power, transmission data rate etc. In order to achieve good clustering performance, the cluster node should move from one cluster to another without affecting the topology. This project proposes an Adaptive Weighted Fuzzy Clustering based Cluster head selection Algorithm (AWFCA) to solve problems found in existing methods, such as the node distribution, flat structures and disturbance of the cluster formation. The proposed mechanism uses fuzzy concept to select the cluster head for clustering in wireless sensor networks. The new protocol is aimed at prolonging the lifetime and improves the stability of WSNs by finding the energy efficient cluster heads (CHs) and energy consumption of the sensor nodes using Adaptive Weighted Fuzzy Clustering method. The operation of the proposed work have set-up phase where the base station finds the CHs, and steady-state phase, where the sensed data are transferred to CHs and then to the base station. The network simulation results shows that the proposed Adaptive Weighted Fuzzy Clustering based Routing Protocol(AWFCRP) achieves better performance compared with existing Cluster Based Routing Protocol(CBRP)