Association of Computer Electronics and Electrical Engineers
In Wireless Sensor Networks (WSN), data fusion should be energy efficient. But, determining the optimal number of aggregators in an energy efficient manner is a challenging task. Moreover, the existing data fusion techniques mostly use the same path for transmitting aggregated data to the sink which reduces the nodes lifetime. In this paper, the authors propose a technique which combines energy efficiency and multiple path selection for data fusion in WSN. The network is partitioned into various clusters and the node with highest residual energy is selected as the cluster head. The sink computes multiple paths to each cluster head for data transmission.