小波变换预测移动节点定位算法

针对无线传感器网络移动节点定位精度不高的问题，提出一种基于小波变换预测的移动节点定位算法。根据历史运动轨迹通过小波变换预测节点当前位置，精确采样区域，应用自适应采样方法减少采样次数，通过加权滤波增大高质量样本点以及降低低质量样本点对定位结果的影响，提高定位精度。仿真结果表明，在锚节点数目、通信半径、最大样本点数目等条件变化的情况下，该算法与传统算法相比提高了定位精度，在低锚节点密度环境下表现出良好的效果。

A Localization Algorithm Based on Wavelet Transform Prediction for Mobile Nodes

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.