Share Email Print

Proceedings Paper

Temporal correlation based data aggregation scheme in wireless sensor networks
Author(s): Guorui Li; Ying Wang
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper 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.

Paper Details

Date Published: 14 March 2013
PDF: 6 pages
Proc. SPIE 8768, International Conference on Graphic and Image Processing (ICGIP 2012), 876868 (14 March 2013); doi: 10.1117/12.2012843
Show Author Affiliations
Guorui Li, Northeastern Univ. at Qinhuangdao (China)
Ying Wang, Qinhuangdao Institute of Technology (China)

Published in SPIE Proceedings Vol. 8768:
International Conference on Graphic and Image Processing (ICGIP 2012)
Zeng Zhu, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?