In wireless sensor networks the sensor nodes are expected to be remotely deployed to operate autonomously in unattended environments. Since the sensor nodes are extremely power constrained, an energy efficient clustering algorithm is proposed for reducing the energy consumption and balancing the energy load among distributed clusters to increase the useful system lifetime and cluster stability. An analytical clustering model based on classic clustering algorithm LEACH, considering both distance and current energy parameters of the nodes at the time of cluster head election is presented in this paper. It improves the process of cluster head election. Based on our findings it reduces the adverse effect on total energy consumption of each cluster and avoid direct communication between the base station and ordinary nodes in the network. The simulation results demonstrate that the improved clustering algorithm can reduce the energy consumption effectively and prolongs 85% of the useful lifetime in terms of First Node Dies compared with the original LEACH protocol.
|Title of host publication
|Ubiquitous Computing and Ambient Intelligence
|Place of Publication
|Number of pages
|Published - 3 Dec 2012