Clustering Approach For Maximizing The Lifetime Of Wireless Sensor Networks

Wireless sensor networks(WSNs) consists of a large number of wireless sensor nodes that have sensing, data processing and communication functionalities. WNSs are typically used to monitor a field of interest to detect movement, temperature changes, precipitation etc. Energy Consumption and Coverage are two major problems in wireless sensor networks. We implement our proposed scheme in NS-2 as an extension of Clustering technique. Clustering technique is one of the approaches to solve this problem. Clustering technique will be proposed for increase of network lifetime greater than 44%, tremendous energy saving and reduce the energy consumption in every node in the network. The proposed algorithm was compared with existing algorithm (Energy Remaining Greedy Scheduling Algorithm) in terms of network life-time by simulation. Simulation results show that tremendous energy saving, reduce the energy consumption, full coverage and prolong the network lifetime greater than 44% can be achieved by clustering technique.