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A WSN Data Aggregation Method with Linear Regression Model

文献类型： 外文期刊

作者： Chen, Liping 1 ; Kan, Jie 2 ; Zhang, Ruirui 1 ; Xu, Gang 1 ;

作者机构： 1.Beijing Acad Agr & Forestry Sci, Beijing Res Ctr Intelligent Equipment Agr, Beijing, Peoples R China

2.Capital Normal Univ, Coll Informat Engn, Beijing, Peoples R China

3.Natl Res Ctr Intelligent Equipment Agr, Beijing, Peoples R China

关键词： WSN;Data fusion;Linear regression;Correlation analysis

期刊名称：ADVANCES IN WIRELESS SENSOR NETWORKS

ISSN： 1865-0929

年卷期： 2015 年 501 卷

页码：

收录情况： SCI

摘要： Wireless sensor networks consist of sensor nodes with sensing and communication capabilities, which differ from traditional communication networks in several ways: sensor networks have severe energy constraints, redundant low-rate data, and many-to-one flows. Conduction of data aggregation is required. By the way of extracting reference data set and constructing linear regression mode, a data aggregation algorithm was proposed for WSN which composed of many correlated sensors. Taking a greenhouse air temperature, relative air humidity and soil temperature data sample collected by WSN in a demonstration base as research object, we analyzed performance of the algorithm. Results show that data compression ratio could reach as high as 40.72 % when the RMSE between restored data and raw data are respectively 0.622 degrees C and 0.853 % for soil temperature and relative air humidity.

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