Information-Accuracy-Aware Jointly Sensing Nodes Selection in Wireless Sensor Networks
A key issue in wireless sensor networks (WSNs) is to select a set of sensors to join sensing task under some physical resource constraints while achieving a required information accuracy. This paper introduces a novel idea for information-accuracy-aware jointly sensing nodes selection based on a derived information accuracy model which formulates an explicit relationship between information accuracy and the number and position of jointly sensing nodes. We aim at eliminating the unnecessary transmission to minimize energy consumption while maximizing information accuracy, which is formulated as a joint optimization of information accuracy and energy consumption. In the proposed algorithm, a node is selected to join a sensing task based on its information accuracy gain and consumed energy. This allows a WSN to efficiently distribute sensing tasks given a limited energy supply. Simulation results have demonstrated that our algorithm improves the performance of joint optimization between information accuracy and energy consumption than a random node selection.
KeywordsWireless Sensor Network Cluster Header Minimum Mean Square Error Cluster Member Event Source
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