DefinePK

Abstract

During the last decade there has been a rapid growth of wireless sensor technology. Wireless sensor networks (WSNs) are widely deployed for a variety of applications. In WSN the sensor nodes are operating with limited battery power, so consumption of energy should be done very carefully to make the network long lasting. Therefore, efficient power utilization is a major concern for the researchers. This paper proposes an extended energy efficient clustering algorithm (EEECA) for load balancing in WSNs. It works in three phases, (i) initialization phase, (ii) setup phase, and (iii) transmission phase. In initialization phase, the network is splitted into number of clusters and for each cluster a cluster head (CH) is selected based on residual energy and mean distance. During setup phase, the base station (BS) sends routing information to all the sensor nodes informing about their CH. A sensor node knows the distance from any other node within the cluster and computes its transmission power. The base station allocates time division multiple access (TDMA) to the cluster nodes. In transmission phase, the sensor nodes in each cluster transmit data to cluster head as per the allocation of transmission time. The CH aggregates all the data and compresses it and sends it to the BS. The algorithm has been simulated using Java and Jung Simulator. Its performance has been estimated by the parameters like throughput, energy consumption, residual energy, and network energy. These results are also compared with the existing algorithms. It is found after analysis of the results that proposed algorithm shows better results in all the above parameters.