A Prediction Based Data Aggregation Scheme in Wireless Sensor Networks

Guo Rui Li; Ying Wang

doi:10.4028/www.scientific.net/AMR.268-270.517

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 268-270A Prediction Based Data Aggregation Scheme in...

A Prediction Based Data Aggregation Scheme in Wireless Sensor Networks

Abstract:

It is very important to minimize the amount of data transmission in wireless sensor networks so that the average sensor lifetime and the overall bandwidth utilization can be improved. In this paper, we propose a prediction based data aggregation scheme which takes advantage of temporal data correlation among sensors to monitor continuously changed environmental conditions. A seasonal time series model is built up to predict the sensed values of ordinary sensors according to the collected historical data. The experiment results show that our proposed scheme can provide considerable aggregation ratio while maintaining a low prediction error rate.

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Periodical:

Advanced Materials Research (Volumes 268-270)

Pages:

517-522

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.268-270.517

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Cite this paper

Online since:

July 2011

Authors:

Guo Rui Li, Ying Wang

Keywords:

Aggregation, Prediction, SARIMA Model, Wireless Sensor Network (WSN)

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