Grey Prediction and Interpolation in WSN Greenhouse System

Wen Feng Cheng; Xiang Long Yang; Li Ren Wang

doi:10.4028/www.scientific.net/AMR.518-523.4915

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 518-523Grey Prediction and Interpolation in WSN...

Grey Prediction and Interpolation in WSN Greenhouse System

Abstract:

To prolong the power life of greenhouse monitoring system based WSN (GMSW), and avoid worsening the control performance when sampling time is elongated, the algorithm of Grey Prediction and Interpolation was proposed. This algorithm predicts the changing trend of the system’s variables with current values, and provides the precise prediction of the following variables. After processing of interpolation for predictive value, feedback values provided for the controller would be smooth and precise. Thus the lagging problem due to the long sampling time is solved, control performance is improved and the power life of wireless node is elongated.

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Periodical:

Advanced Materials Research (Volumes 518-523)

Pages:

4915-4920

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.518-523.4915

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Online since:

May 2012

Authors:

Wen Feng Cheng, Xiang Long Yang, Li Ren Wang

Keywords:

Greenhouse, Grey Prediction, Interpolation, Wireless Sensor Network (WSN)

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