Wireless sensor networks (WSNs) plays a crucial role in many useful applications viz., electronics, computer science, mathematics, and engineering. In general, we deploy the sensor nodes in the region at the places distant to human beings. The placement of sensors can be done in the air, the water, and on the earth. For instance, a sensor node which is placed to monitor the status of volcano eruption on active volcano cannot be replaced whenever its battery exhausts. It involves huge cost and most importantly human lives. Hence, there is an extensive influence for developing an application which improves the lifetime of sensor network. The improvement can be done by utilizing the energy of sensor nodes efficiently. In this work, an effort has been made to improve the lifetime of energy using genetic algorithm based energy efficiency (GAEE) approach in a clustered environment. Using Mat-lab the results obtained using the proposed approach have been compared with the Greedy-CSC, CWGC, OCCH, and MCLCT. The comparison has been made in terms of number of hours the network is alive for the range of sensor nodes, critical points, and communication range. The run-time comparisons are also made with the stateof- the art approaches. The proposed GAEE is performing well when compared except in the case of run-time.
Volume 11 | Issue 4