A Distributive Localization Method for Wireless Sensor Networks Using Angle of Departure

您当前的位置：

首页 >

文章列表页 >

A Distributive Localization Method for Wireless Sensor Networks Using Angle of Departure

更新时间：2025-07-09

- A Distributive Localization Method for Wireless Sensor Networks Using Angle of Departure
- Vol. 44, Issue 2, Pages: 61-66(2010)
- 作者机构：
  
  1. 西安交通大学智能网络与网络安全教育部重点实验室,西安,710049
  2. 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： TN911.7
- Online First：10 February 2010，
  
  Published：2010
- 稿件说明：
移动端阅览
A Distributive Localization Method for Wireless Sensor Networks Using Angle of Departure[J]. 2010, 44(2): 61-66.
DOI：

A Distributive Localization Method for Wireless Sensor Networks Using Angle of Departure[J]. 2010, 44(2): 61-66. DOI：

摘要

针对现有无线传感器网络节点定位方法成本和复杂度较高的问题

提出了一种利用离去角度估计的分布式节点定位方法(AODL).锚节点利用阵列天线发射正交导频信号

从而使得各传感节点仅需配备常规的单天线系统便可获得导频信号的离去角度信息.结合锚节点的地理位置

各节点进而可进行自身的三维位置估计.AODL方法仅利用无线通信设备进行定位

节点的角度估计不需要配备阵列天线

具有低成本和低能耗的优点

同时各节点独立进行自身的角度估计和位置计算

是一种分布式的定位方法.仿真实验结果表明

对于100 m×100 m的定位区域

借助于4个装备3×3均匀面阵的锚节点

各传感节点在信噪比为15 dB时的平均定位误差可以达到1 m以内.

Abstract

A novel distributive localization method using the angle of departure(AODL)is proposed to reduce the cost and complexity of existing localization methods for wireless sensor networks. The anchors emit time-division pilots to the network using multi-antenna system

and each sensor just utilizes single-antenna system to estimate the angle of departure(AOD)of the pilot

by which the sensor's position can be determined. The AODL only relies on radio transceivers

and the sensors estimate the angle information without the need of conventional multi-antenna system

so that the system complexity is greatly reduced. Moreover

the angle estimation and position calculation are conducted at each sensor in a completely distributed manner. The simulation results show that for a 100 m×100 m region

with the assistance of four anchors equipped with 3×3 uniform planar array

the average location error is within 1 m when the signal-to-noise ratio of each sensor is 15dB.

关键词

Keywords

references

MAO G, ANDERSON B. Wireless sensor network localization techniques [J]. Computer Networks, 2007, 51(10): 2529-2553.

PRIYANTHA N B, CHARKABORTY A, BALAKRISHNAN H. The cricket location-support system [C]∥Proc of MobiCom 2000. New York, USA: ACM, 2000: 32-43.

HE T, HUANG C, BLUM B M, et al. Range-free localization schemes for large scale sensor networks [C]∥Proc 9th MobiCom. New York, USA: ACM, 2003: 81-95.

BAHL P, PADMANABHAM V N. RADAR: an in-building RF-based user location and tracking system [C]∥Proc of INFOCOM. Piscataway, NJ, USA: IEEE, 2000: 775-784.

张渭乐,殷勤业,王文杰,等. 无线传感器网络分布式射频干涉定位方法[J]. 西安交通大学学报, 2009, 43(8): 48-52.

ZHANG Weile, YIN Qinye, WANG Wenjie,et al. Distributed radio interference localization of wireless sensor networks [J]. Journal of Xi'an Jiaotong University, 2009, 43(8): 48-52.

张渭乐,殷勤业,韩玮,等. 基于Doppler效应的无线传感器网络射频干涉定位方法[J]. 中国科学F辑:信息科学, 2009, 39(8): 909-917.

ZHANG Weile, YIN Qinye, HAN Wei, et al. Radio interferometric localization of WSNs based on Doppler Effect[J].Science in China, F: Information Sciences, 2009, 39(8): 909-917.

NICULESCU D, NATH B. Ad hoc positioning system(APS)using AOA [C]∥Proc of INFOCOM. Piscataway, NJ, USA: IEEE, 2003: 1734-1743.

SHAN Z L, YUM TAK-SHING P. Precise localization with smart antennas in Ad-Hoc networks [C]∥Proceedings of IEEE GLOBECOM. Piscataway, NJ, USA: IEEE, 2007: 1053-1057.

PEDERSEN K, MOGENSEN P. A stochastic model of the temporal and azimuthal dispersion seen at the base station in out door propagation environments [J]. IEEE Trans Veh Technol, 2000, 49: 437-447.

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Prolonging Lifecycle of Energy Balance Routing in Real-Time Wireless Sensor Networks

Secure Directed Diffusion Protocol Based on Random Key Predistribution Model

Directed Diffusion Algorithm Based on Dynamic Threshold

Dynamic Data Transmission Mechanism Based on Prediction Revision

Proportional Fairness Scheduling Algorithm Used for Wireless Sensor Network

Related Author

赵保华 1

李培龙 1

高存皓 1

周颢 1

宋飞 1

谷雨 1

Related Institution

Anhui Province Key Laboratory of Software in Computing and Communication

Department of Computer Science and Technology, University of Science and Technology of China

School of Mathematics and Computer Science, Ningxia University

Department of Computer Science and Technology, Xi'an Jiaotong University

⁰