Grey Prediction of WSN Feedback Value in Greenhouse
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.
Grey prediction WSN GreenhousePaper
Wenfeng Cheng Xianglong Yang Liren Wang
Department of Biosystem Engineering, Zhejiang University, Hangzhou 310029 Zhejiang Institute of Mech Department of Biosystem Engineering, Zhejiang University, Hangzhou 310029
国内会议
厦门
英文
1-4
2012-08-01（万方平台首次上网日期，不代表论文的发表时间）