Distributed Nodes Localization Method in Wireless Sensor Networks

李善仓 1; 傅鹏 2; 张德运 1

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Distributed Nodes Localization Method in Wireless Sensor Networks

更新时间：2025-12-08

- Distributed Nodes Localization Method in Wireless Sensor Networks
- Vol. 41, Issue 12, Pages: 1418-1422(2007)
- 作者机构：
  
  西安交通大学电子与信息工程学院,西安,710049
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP393.17
- Online First：10 December 2007，
  
  Published：2007
- 稿件说明：
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李善仓 1, 傅鹏 2, 张德运 1. Distributed Nodes Localization Method in Wireless Sensor Networks[J]. 2007, 41(12): 1418-1422.
DOI：

李善仓 1, 傅鹏 2, 张德运 1. Distributed Nodes Localization Method in Wireless Sensor Networks[J]. 2007, 41(12): 1418-1422. DOI：

摘要

提出一种基于流形学习的分布式Hessian局部线性嵌入(DHLLE)定位方法

给出了基于流形学习算法的定位框架.DHLLE方法采用同情最邻近算法来选择节点邻居列表

并应用Hessian局部线性嵌入(HLLE)算法获取传感器网络节点的局部映射

再通过对局部映射合并获得所有节点的全局映射

最后通过对参考节点进行坐标匹配以取得所有节点的全局坐标.仿真结果表明

DHLLE方法能够快速、准确地对节点进行定位

且复杂度低

节点能耗小

其性能超过了分布式加权多维定标等算法.

Abstract

A novel distributed Hessian local linear embedded(DHLLE)localization method and framework based on manifold learning were presented

in which the algorithm of sympathy the nearest was used to select the neighbors list

and the HLLE algorithm was used to obtain the local map of sensor network's nodes. Then

by combining local maps the global map of all nodes was acquired. Finally

the global coordinates of all nodes could be obtained through matching to reference coordinates. The simulation results demonstrate that DHLLE can localize the nodes accurately and rapidly with lower complexity and less energy consumption in nodes

and its performance is superior to the distributed weighted multi-dimension localization algorithm.

关键词

Keywords

references

Donoho D L, Grimes C. Hessian eigenmaps: locally linear embedding techniques for high-dimensional data[J]. Science,2003, 100(10):5591-5596.

Patwari N, Ash J. Locating the nodes: cooperative localization in wireless sensor networks [J]. IEEE Signal Processing Magazine, 2005, 22(4):54-69.

Shang Y, Ruml W,Zhang Y,et al.Localization from mere connectivity[C]∥Proceedings of the 4th ACM International Symp on Mobile Ad Hoc Networking Computing. New York:ACM Press,2003:201-212.

Costa J A, Patwari N, Hero III A O. Distributed multidimensional scaling with adaptive weighting for node localization in sensor networks [J]. ACM Trans on Sensor Networks, 2006, 2(1):39-64.

张军平. 流形学习及应用 [D]. 北京:中国科学院研究生院,2003.

李善仓, 张德运. 无线传感器网中基于多维定标技术的节点定位方法 [J]. 西安交通大学学报, 2006, 40(12):127-130.

Li Shancang,Zhang Deyun. Distributed weighted MDS self-localization algorithm of wireless sensors network[J]. Journal of Xi'an Jiaotong University, 2006, 40(12):127-130.

Shang Y, Ruml W. Improved MDS-based localization[C]∥Proceedings of the 23rd Conference of the IEEE Communications Society.Piscataway, USA:IEEE, 2004:2640-2651.

Patwari N, Hero III A O, Perkins M, et al. Relative location estimation in wireless sensor networks [J]. IEEE Trans on Sig Proc, 2003, 51(8):2137-2148.

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