Temporal correlation based data aggregation scheme in wireless sensor networks

Guorui Li; Ying Wang

doi:10.1117/12.2012843

14 March 2013 Temporal correlation based data aggregation scheme in wireless sensor networks

Guorui Li, Ying Wang

Proceedings Volume 8768, International Conference on Graphic and Image Processing (ICGIP 2012); 876868 (2013) https://doi.org/10.1117/12.2012843
Event: 2012 International Conference on Graphic and Image Processing, 2012, Singapore, Singapore

Abstract

In many environmental monitoring applications, since the data periodically sensed by wireless sensor nodes usually are of high temporal redundancy, prediction based data aggregation is an important approach for reducing data communication and saving sensor nodes’ energy. We proposed a temporal correlation based data aggregation scheme in this paper which utilizes time series model to predict the data of next several periods at both ordinary sensors and aggregators based on the same amount of recent sensed values. We show through experiments that our proposed scheme can provide considerable aggregation ratio while maintaining a low prediction error rate.

Citation Download Citation

Guorui Li and Ying Wang "Temporal correlation based data aggregation scheme in wireless sensor networks", Proc. SPIE 8768, International Conference on Graphic and Image Processing (ICGIP 2012), 876868 (14 March 2013); https://doi.org/10.1117/12.2012843

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