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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