Enhancing Network Lifetime using Fuzzy Dynamic Clustering Algorithm in WSNs

The main aim of the project is to maximize the network lifetime. In Wireless Sensor Networks, maximizing overall network lifetime and minimizing total energy consumption are the main issues. Fuzzy Dynamic Clustering Algorithm (FDCA) is mainly used to improve the longest survival time of the nodes in the network. The energy consumption of the network can be competently reduced while the nodes are organized in the form of clusters. Based on FDCA, cluster head (CH) are selected for a cluster. By reducing the total energy consumption of the nodes automatically the overall network lifetime will be increased. In the proposed approach the overall network lifetime is increased when compared with Low Energy Adaptive Clustering Hierarchy (LEACH). The FDCA and LEACH protocol are compared based on the network performance analysis such as alive nodes, end to end delay, packet delivery ratio (PDR) and energy consumption. Simulation results reveals that the proposed algorithm outperforms better with the existing LEACH protocol.