节点文献
基于加权最小二乘的无线传感器网络Euclidean定位算法
Euclidean Localization Algorithm Based on Weighted Least Square for Wireless Sensor Network
【摘要】 针对Euclidean定位算法中定位精度及覆盖率受锚节点密度影响较大的问题,提出一种改进的节点定位算法。根据节点初始定位精度及测距精度提出一种新的加权方法。定位后的节点升级为辅助信标点。未知节点根据更新的锚节点位置信息循环求精。仿真表明该定位系统既能提高定位覆盖率又能减少定位累积误差,从而提高整个网络的定位精度。
【Abstract】 Aiming at the problem that anchor ratio has a strong impact on localization error and coverage in Euclidean algorithm,an improved localization algorithm is proposed.According to the initial node position accuracy and measurement accuracy,a new method for weighted is presented.The orphan node becomes assistant beacon node to aid localization after being localized.And the localization accuracy of other nodes is obtained by iterative refinements.Simulation results demonstrate that the position cumulative and average error are both lower,but the coverage is higher.
【Key words】 wireless sensor networks; location; weighted least square method; iterative Refinements;
- 【文献出处】 世界科技研究与发展 ,World Sci-Tech R$D , 编辑部邮箱 ,2011年01期
- 【分类号】TP212.9;TN929.5
- 【被引频次】1
- 【下载频次】39