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Prediction-based data aggregation in wireless sensor networks: Combining grey model and Kalman Filter
2011
Computer Communications
In many environmental monitoring applications, since the data periodically sensed by wireless sensor networks usually are of high temporal redundancy, prediction-based data aggregation is an important approach for reducing redundant data communications and saving sensor nodes' energy. In this paper, a novel prediction-based data collection protocol is proposed, in which a double-queue mechanism is designed to synchronize the prediction data series of the sensor node and the sink node, and
doi:10.1016/j.comcom.2010.10.003
fatcat:urwnmlzh5fbzjdwukjl5sdjfxe