Grey Prediction of WSN Feedback Value in Greenhouse

Wen Feng Cheng; Xiang Long Yang; Li Ren Wang

doi:10.4028/www.scientific.net/AMR.608-609.1166

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 608-609Grey Prediction of WSN Feedback Value in...

Grey Prediction of WSN Feedback Value in Greenhouse

Abstract:

To improve the performance of greenhouse monitoring system based on WSN, an algorithm was proposed. By grey prediction of WSN current feedback values, the sampling values of the following variables can be predicted. The paper discussed the relation of grey prediction model dimension and the predicting precision, and the control effect was analyzed. This method solved the discrete and lagging problem, it will effectively save the battery energy of WSN node and reduce the energy consumption in greenhouse by improving system stability.

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Periodical:

Advanced Materials Research (Volumes 608-609)

Pages:

1166-1171

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.608-609.1166

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Online since:

December 2012

Authors:

Wen Feng Cheng, Xiang Long Yang, Li Ren Wang

Keywords:

Greenhouse, Grey Prediction, Wireless Sensor Network (WSN)

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