Energy Efficient Aggregation with Divergent Sink Placement for Wireless Sensor Networks

In WSN the data aggregation is a means for condensing the energy requirement by reducing number oftransmission by combining the data and sending the final required result to the base station. The lifetimeof the WSN can be improved by employing the aggregation techniques. During the process of aggregationthe numbers of transmission are reduced by combining the similar data from the nearby areas.By usingthe clustering technique and aggregating the correlated data greatly minimize the energy consumed incollecting and disseminating the data. In this work, we evaluate the performance of a novel energyefficient cluster based aggregation protocol (EECAP) for WSN.The main focus in this proposed work isto study the performance of our proposed aggregation protocol with divergent sink placements such aswhen sink is at the centre of the sensing field, corner of the sensing field or at a location selectedrandomly in the sensor field. We present experimental results by calculating the lifetime of network interms ofnumber ofsensing rounds using various parameters such as–average remaining energy ofnodes, number ofdead nodes after the specified number ofsensingrounds. Finally the performance ofvarious aggregation algorithms such as LEACH, SEP and our proposed aggregation protocol (EECAP)are compared with divergent sink placements. The simulation results demonstrates that EECAP exhibitsgood performance in terms of lifetime and the energy consumption of the wireless sensor networks andwhich can be as equally compared with existing clustering protocols.