吉林大学学报(理学版)

• 计算机科学 • 上一篇    下一篇

基于误差先验知识的NLOS移动节点定位算法

何中越, 颜俊华   

  1. 西南石油大学 计算机科学学院, 成都 610500
  • 收稿日期:2016-09-20 出版日期:2017-09-26 发布日期:2017-09-26
  • 通讯作者: 何中越 E-mail:yzhe@163.com

NLOS Mobile Node Localization Algorithm Based on Error Prior Knowledge

HE Zhongyue, YAN Junhua   

  1. School of Computer Science, Southwest Petroleum University, Chengdu 610500, China
  • Received:2016-09-20 Online:2017-09-26 Published:2017-09-26
  • Contact: HE Zhongyue E-mail:yzhe@163.com

摘要: 针对实际应用环境中存在阻挡节点间通信的障碍物, 使节点间的通信变成非视距(NLOS)类型的问题, 提出一种基于误差先验知识引导的NLOS移动节点定位(NSES)算法. 该算法首先根据误差先验知识, 判断并计算出带有误差的NLOS测量值个数在总个数中的百分数K; 然后根据K选出误差较大的测量值; 最后对误差较大的NLOS测量值进行校正操作. 仿真实验结果表明, 该算法较传统移动节点定位算法能有效降低NLOS误差, 提高节点定位精度.

关键词: 非视距误差, 节点位置信息, 节点定位, 无线传感器网络

Abstract: Aiming at the problem that there were many block obstacles to communication between blocking nodes in the actual application environment, so that the communication between nodes became non lineofsight (NLOS) type, we proposed a kind of NLOS mobile node localization algorithm based on
 error prior knowledge. The algorithm first calculated the number of NLOS measurements with errors in the total number of percentage K according to the error prior knowledge. And then according to the K to select the larger measured value of error. Finally, the NLOS measured value with larger error was corrected. The simulation results show that, compared with the traditional mobile node localization algorithm, the proposed algorithm can effectively reduce the NLOS error and improve the node localization accuracy.

Key words: node localization, non lineofsight error, wireless sensor networks, node location information

中图分类号: 

  • TP212.9