Energy Efficient Aggregation with Divergent Sink Placement for Wireless Sensor Networks
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International Journal of Ad hoc, Sensor & Ubiquitous Computing (IJASUC) 4 (2): 12 (April 2013)

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