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In this paper, the authors present a new cluster-based power preservation scheme. Their clustering strategy for power saving is defined based on the \"Similarity of data\" coming out from the sensors. The proposed clustering works in conjunction with their learning algorithm to obtain an optimum sleeping time of the sensors without disrupting the monitoring activity. The algorithm helps to effectively regulate the activation or de-activation of the sensor node's radio transceiver, which in turn prolong the lifetime of the network.
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