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Cluster-based data gathering is widely used in wireless sensor networks, primarily to overcome scalability issues. While clustering is not the most efficient means of gathering data, many clustering algorithms have attempted to provide energy efficiency as well. In this paper, we first demonstrate that the general problem of optimal clustering with arbitrary cluster-head selection is NP-hard. Next,...
We consider the problem of optimal cluster-based data gathering in Wireless Sensor Networks (WSNs) when nearby readings are spatially correlated. Due to the dense nature of WSNs, data samples taken from nearby locations are statistically similar. We show how this data correlation can be exploited to reduce the amount of data to be transmitted in the network and thus conserve energy. While much attention...
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