Enhancement of Lifetime using Two-Level Fuzzy Based Clustering in WSN

Wireless Sensor Networks have gained fabulous attention in recent years because of growth of sensor device as well as wireless communication technologies. WSNs are typically deployed in remote environment and the nodes are deployed with non-rechargeable batteries, so that the network lifetime is of crucial important. Due to resource limitations in wireless sensor Networks, prolonging the network lifetime has been of a great interest. An energy efficient routing technique is known as hierarchical routing based on fuzzy based clustering, in which finding the optimum cluster heads. In this paper, a two-level fuzzy logic is used to evaluate the qualification of sensors to become a cluster head. In the first level (Local Level), the qualified nodes are selected based on their energy and number of neighbors of them. Then, in the second level (Global Level), nodes overall cooperation is considered in the whole network with three fuzzy parameters. These parameters are centrality, proximity to base station and distance between cluster heads. Simulation results show that the proposed approach consumes less energy and prolongs the network life time, residual energy, energy variance compared with leach algorithm.