无线传感器网络的不确定传感数据预测

doi:10.3969/j.issn.0255-8297.2012.06.002

应用科学学报 ›› 2012, Vol. 30 ›› Issue (6): 566-572.doi: 10.3969/j.issn.0255-8297.2012.06.002

无线传感器网络的不确定传感数据预测

焉晓贞，谢红，王桐

哈尔滨工程大学大学信息与通信工程学院，哈尔滨150001

收稿日期:2011-10-01 修回日期:2011-12-26 出版日期:2012-11-27 发布日期:2011-11-26
通信作者: 焉晓贞，博士生，研究方向：无线传感器网络、物联网，E-mail: yanxiaozhen@hrbeu.edu.cn
作者简介:焉晓贞，博士生，研究方向：无线传感器网络、物联网，E-mail: yanxiaozhen@hrbeu.edu.cn
基金资助:
国家自然科学基金(No. 61102105)；教育部博士点基金（No. 20102304120014）；黑龙江省自然科学基金（No. F201029）资助

Uncertain Sensor Data Prediction for Wireless Sensor Networks

YAN Xiao-zhen, XIE Hong, WANG Tong

College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China

Received:2011-10-01 Revised:2011-12-26 Online:2012-11-27 Published:2011-11-26

摘要/Abstract

摘要： 由于传感误差、传感噪声、传输错误等因素的影响，同一个传感区域内多个传感器节点的传感数据具有一定程度的差异，这种差异导致的区域不确定性传感数据给查询、预测等后续深层次的数据处理提出了严峻挑战.针对这类传感数据的预测问题，提出一种基于多变量主元分析（multiple variable principal component analysis,MVPCA）的不确定性传感数据预测方法. 通过MVPCA的特征提取这一预处理手段获得不确定性传感数据的本质特征，然后采用基于相关分析的多元回归方法对这些数据进行建模和预测. 实际传感数据的实验结果表明，该方法能有效解决不确定性传感数据的预测问题.

关键词: 无线传感器网络, 不确定性数据, 多变量主元分析, 多元回归

Abstract: In wireless sensor networks, affected by sensor noise, sensor error, transmission error and other factors, data collected from different sensor nodes in the same sensor field are different, leading to uncertainty of the sensor data. This is a challenge for further data processing methods such as sensor data mining and query. To deal with the data uncertainty problem, an uncertain sensor data prediction method based on multiple variable principle component analysis (MVPCA) is proposed. The uncertain sensor data are first pretreated with MVPCA feature extraction to obtain the intrinsic featrure from the uncertain data. A multiple regression prediction method based on correlation analysis is then applied to the feature data for modeling and prediction. Sensor data of a real wireless sensor network are used to estimate the method. The results show that the proposed method can efficiently predict uncertian sensor data with high accuracy.

Key words: wireless sensor network, uncertian data, mulitple variable principal component analysis, multiple regression

中图分类号:

TP393

焉晓贞，谢红，王桐. 无线传感器网络的不确定传感数据预测[J]. 应用科学学报, 2012, 30(6): 566-572.

YAN Xiao-zhen, XIE Hong, WANG Tong. Uncertain Sensor Data Prediction for Wireless Sensor Networks[J]. Journal of Applied Sciences, 2012, 30(6): 566-572.

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无线传感器网络的不确定传感数据预测

Uncertain Sensor Data Prediction for Wireless Sensor Networks

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