A WSN Data Aggregation Method with Linear Regression Model
文献类型: 外文期刊
第一作者: Chen, Liping
作者: Chen, Liping;Zhang, Ruirui;Xu, Gang;Kan, Jie;Chen, Liping;Zhang, Ruirui;Xu, Gang
作者机构:
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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