CAJ | 학술논문

无线传感器网络通信带宽等十分有限，难以实现较大量数据传输。针对多参数传感器网络，通过提取基准参数数据集，并分段构建线性回归方程的方法，设计了一种适合多参数、较大数据量传感器网络网内数据的压缩传输算法。以某基地实际采样环境温度、空气相对湿度、土壤温度数据为研究对象，对算法压缩效率和数据恢复效果进行了分析。结果表明：对于空气相对湿度和土壤温度，恢复数据与原始数据均方根误差RMSE分别为3.87%、0.49℃时，整体数据压缩率可达51.9%，有效降低了数据传送量。
무선전감기망락통신대관등십분유한，난이실현교대량수거전수。침대다삼수전감기망락，통과제취기준삼수수거집，병분단구건선성회귀방정적방법，설계료일충괄합다삼수、교대수거량전감기망락망내수거적압축전수산법。이모기지실제채양배경온도、공기상대습도、토양온도수거위연구대상，대산법압축효솔화수거회복효과진행료분석。결과표명：대우공기상대습도화토양온도，회복수거여원시수거균방근오차RMSE분별위3.87%、0.49℃시，정체수거압축솔가체51.9%，유효강저료수거전송량。
Suffering from the limitation of bandwidth,WSN is confronting the challenge of big data transmission. By obtaining Base-data and constructing piece-wise linear regression equation,this paper proposed a data compression transmission algorithm for WSN with large data volume and strong correlation and redundancy multi-parameter. Tak-ing environment temperature,relative air humidity and soil temperature data obtained by a WSN system located in Beijing Xiao Tangshan national demonstration base of precision agriculture as research object,we tested the com-pression and data recovery efficiency of the algorithm. Results show that data compression ratio is as high as 51.9%when the RMSE between restored data and raw data are 3.87% and 0.49℃,which brings an enormous reduction of the amount of data transmission.