Joint Research on Clock Synchronization and Localization in Wireless Sensor Network with Stochastic Exponentially Distributed Noise

Xiang Zhao; Jiming Lin

doi:10.3969/j.issn.1000-0801.2014.10.015

您当前的位置：

首页 >

文章列表页 >

Joint Research on Clock Synchronization and Localization in Wireless Sensor Network with Stochastic Exponentially Distributed Noise

Research And Development | 更新时间：2024-06-05

- Joint Research on Clock Synchronization and Localization in Wireless Sensor Network with Stochastic Exponentially Distributed Noise
- Telecommunications Science Vol. 30, Issue 10, Pages: 99-102(2014)
- 作者机构：
  
  1. 西安电子科技大学通信工程学院西安 710071
  2. 桂林电子科技大学信息与通信学院桂林 541004
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.1000-0801.2014.10.015
  CLC：
- Published Online：2014-10，
  
  Published：20 October 2014
- 稿件说明：
移动端阅览
Xiang Zhao, Jiming Lin. Joint Research on Clock Synchronization and Localization in Wireless Sensor Network with Stochastic Exponentially Distributed Noise[J]. Telecommunications science, 2014, 30(10): 99-102.
DOI：

Xiang Zhao, Jiming Lin. Joint Research on Clock Synchronization and Localization in Wireless Sensor Network with Stochastic Exponentially Distributed Noise[J]. Telecommunications science, 2014, 30(10): 99-102. DOI： 10.3969/j.issn.1000-0801.2014.10.015.

摘要

在无线传感器网络中，基于消息到达时间的时钟同步与定位联合研究是一项重要的研究课题。网络的随机时延一般用指数分布描述。基于消息到达时间的测量值，推出了在指数随机噪声条件下同步与定位的联合最大似然估计（JMLE）算法以及联合最佳线性无偏估计（JBLUE）算法。仿真表明，与已有的联合算法相比，提出的JMLE算法与JBLUE算法估计精度较高。

Abstract

Joint clock synchronization and localization based on the time of arrival（TOA）measurements is a very important research topic for many wireless sensor network applications. The exponentially distributed link delay is usually used to describe the practical network link condition. The joint maximum likelihood estimation（JMLE）on clock synchronization and localization problem was first proposed based on the TOA measurements. JMLE was optimal only for Gaussian delay

as for the exponentially distributed delay

the joint best linear unbiased estimation （JBLUE）was then proposed. The result is derived via simulation: JMLE and JBLUE are always superior to the latest joint algorithm

with the highest estimation accuracy.

关键词

Keywords

references

Wu Y C , Chaudhari Q , Serpedin E . Clock synchronization of wireless sensor networks . IEEE Signal Processing Magazine , 2011 , 28 ( 1 ): 124 ～ 138

Win M Z , Conti A , Mazuelas S , et al ． Network localization and navigation via cooperation . IEEE Communications Magazine , 2011 , 49 ( 5 ): 56 ～ 62

Zhu S , Ding Z . Joint synchronization and localization using TOAs: a lineariz ation based WLS solution . IEEE Journal on Selected Areas in Communications , 2010 , 28 ( 7 ): 1017 ～ 1025

Zheng J , Wu Y C . Joint time synchronization and localization of an unknown node in wireless sensor networks . IEEE Transactions on Signal Processing , 2010 , 58 ( 3 ): 1309 ～ 1320

Moon S B , Skelley P , Towsley D . Estimation and removal of clock skew from network delay measurements . Proceedings of the 18th Annual Joint Conference of the IEEE Computer and Communications Societies （INFOCOM ˊ99） , New York, USA , 1999 : 227 ～ 234

Jeske D R . On the maximum likelihood estimation of clock offset . IEEE Transactions on Communication , 2005 , 53 ( 1 ): 53 ～ 54

Johnson N L , Kemp A W Kotz S . Univariate Discrete Distributions . Hoboken: John Wiley ＆ Sons , 2005

Views

451

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

An overview of low resolution quantization in wireless communication system

Indoor localization algorithm based on RFID technology for smart park

Related Author

Dan QIAO

Chaokai WEN

Feifei GAO

Shi JIN

Wenzhao WU

Xiao WANG

Kunpeng ZHAO

Yafeng WEN

Related Institution

National Mobile Communications Research Laboratory, Southeast University

Institute of Communications Engineering,Taiwan Sun Yat-sen University,Kaohsiung

Department of Automation, Tsinghua University

Beijing GuoDianTong Network Technology Co.，Ltd.

State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources，North China Electric Power University

⁰