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一种基于Quasi-UDG模型的无线传感器网络非测距定位算法
  • 期刊名称:北京交通大学学报
  • 时间:0
  • 页码:89-93
  • 语言:中文
  • 分类:TP393.03[自动化与计算机技术—计算机应用技术;自动化与计算机技术—计算机科学与技术]
  • 作者机构:[1]北京交通大学电子信息工程学院,北京100044
  • 相关基金:国家自然科学基金资助项目(60802016,60972010);中央高校基本科研业务费专项资金资助(2009JBM007)
  • 相关项目:无线传感器网络敌节点检测和隔离理论与关键技术
中文摘要:

针对Quasi—UDG模型下无线传感器网络随机部署的拓扑特征,提出了一种非测距基于权重的定位算法EWLS(Enhanced Weighted Least Square).首先,设计出一种节点跳数和距离关系估计的方法,然后依据跳数值与距离关系的概率表达式,给出EWLS定位算法中节点测量距离信息的权重.仿真实验表明,在不同的锚节点密度、Quasi-UDG模型因子和平均邻居节点数的参数下,EWLS算法定位误差较小,同最小均方误差相比,有效地提高了节点定位的精度.

英文摘要:

The quasi unit disk graph model of wireless sensor networks is studied in this paper and a new range-free localization method based on the weight is proposed for a scenario that sensor nodes are randomly and independently distributed in a bounded area. Firstly, we give out the relationship between hop counts and distance estimation. Then, based on the relationship expression, we design a new enhanced weighted least square (EWLS) method for localization, and give out the weight for each distance measurement. Simulation results show that. the EWLS performs better than the least square method with less positioning error under different anchor fractions, the factor of Qusai-UDG and the average local neighborhood.

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