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Performance evaluation of data aggregation for cluster-based wireless sensor network
2013
Human-Centric Computing and Information Sciences
In wireless sensor network, data fusion is considered an essential process for preserving sensor energy. Periodic data sampling leads to enormous collection of raw facts, the transmission of which would rapidly deplete the sensor power. In this paper, we have performed data aggregation on the basis of entropy of the sensors. The entropy is computed from the proposed local and global probability models. The models provide assistance in extracting high precision data from the sensor nodes. We
doi:10.1186/2192-1962-3-13
fatcat:ke52ayztyzg7dnwyfddftgi5du