传感技术学报2016，Vol.29Issue(4)：566-571,6.DOI:10.3969/j.issn.1004-1699.2016.04.017
小波变换预测移动节点定位算法
A Localization Algorithm Based on Wavelet Transform Prediction for Mobile Nodes
摘要
Abstract
In order to solve the shortcoming of localization accuracy in mobile wireless sensor networks,a localiza⁃tion algorithm based on wavelet transform prediction for mobile nodes is proposed in this paper. To get a more accu⁃rate sampling area,wavelet transform prediction is used to predict the current location of the node according to the historical trajectory. And adaptive sampling method is also applied here to reduce the times of sampling. Besides ,to further improve the localization accuracy,weighted filtering is used in the filtering process,which will increase the weight of high-quality nodes and decrease the low-quality ones. Compared with traditional algorithm,the proposed algorithm has good performance in situations of different number of anchor nodes,communication radius,and maxi⁃mum sample size,especially in situations of low density of the anchor nodes.关键词
无线传感器/移动定位/小波变换/运动预测/蒙特卡罗Key words
wireless sensor networks/mobile localization/wavelet transform/motion prediction/monte carlo分类
信息技术与安全科学引用本文复制引用
徐泽坤,单志龙..小波变换预测移动节点定位算法[J].传感技术学报,2016,29(4):566-571,6.基金项目
国家自然科学基金项目（61370003）；广东省自然科学基金项目（2015A030313395）；广东省科技计划项目 （）
