Variational message passing for joint localization and synchronization in wireless sensor networks

Weijie YUAN; Nan WU; Hua WANG; Bin LI; Jingming KUANG

doi:10.1109/ICCChina.2014.7008317

Variational message passing for joint localization and synchronization in wireless sensor networks

Weijie YUAN, Nan WU^*, Hua WANG, Bin LI, Jingming KUANG

^*Corresponding author for this work

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

5 Citations (Scopus)

Abstract

We consider an asynchronous sensor network where target sensors aim to locate themselves unambiguously. Timing information is a vital requirement for time-based localization. Joint localization and synchronization estimation can improve position accuracy and reduce both communication overhead and power cost. In this paper, a novel distributed cooperative joint localization and synchronization algorithm based on factor graph and variational message passing (VMP) is proposed. We linearize the nonlinear terms in observation function in order to obtain a closed Gaussian form solution of the joint estimation problem. Simulation results show that the proposed joint localization and synchronization method performs very close to those sample based approaches with much lower complexity and communication overhead.

Original language	English
Title of host publication	2014 IEEE/CIC International Conference on Communications in China, ICCC 2014
Publisher	IEEE
Pages	437-441
Number of pages	5
ISBN (Electronic)	9781479941469
DOIs	https://doi.org/10.1109/ICCChina.2014.7008317
Publication status	Published - 12 Jan 2015
Externally published	Yes
Event	2014 IEEE/CIC International Conference on Communications in China, ICCC 2014 - Shanghai, China Duration: 13 Oct 2014 → 15 Oct 2014

Conference

Conference	2014 IEEE/CIC International Conference on Communications in China, ICCC 2014
Country/Territory	China
City	Shanghai
Period	13/10/14 → 15/10/14

Bibliographical note

Publisher Copyright:
© 2014 IEEE.

Keywords

Factor graph
Gaussian message passing
Joint localization and synchronization
Variational method
Wireless sensor network

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10.1109/ICCChina.2014.7008317

Cite this

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title = "Variational message passing for joint localization and synchronization in wireless sensor networks",

abstract = "We consider an asynchronous sensor network where target sensors aim to locate themselves unambiguously. Timing information is a vital requirement for time-based localization. Joint localization and synchronization estimation can improve position accuracy and reduce both communication overhead and power cost. In this paper, a novel distributed cooperative joint localization and synchronization algorithm based on factor graph and variational message passing (VMP) is proposed. We linearize the nonlinear terms in observation function in order to obtain a closed Gaussian form solution of the joint estimation problem. Simulation results show that the proposed joint localization and synchronization method performs very close to those sample based approaches with much lower complexity and communication overhead.",

keywords = "Factor graph, Gaussian message passing, Joint localization and synchronization, Variational method, Wireless sensor network",

author = "Weijie YUAN and Nan WU and Hua WANG and Bin LI and Jingming KUANG",

note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 IEEE/CIC International Conference on Communications in China, ICCC 2014 ; Conference date: 13-10-2014 Through 15-10-2014",

year = "2015",

month = jan,

day = "12",

doi = "10.1109/ICCChina.2014.7008317",

language = "English",

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booktitle = "2014 IEEE/CIC International Conference on Communications in China, ICCC 2014",

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}

YUAN, W, WU, N, WANG, H, LI, B & KUANG, J 2015, Variational message passing for joint localization and synchronization in wireless sensor networks. in 2014 IEEE/CIC International Conference on Communications in China, ICCC 2014., 7008317, IEEE, pp. 437-441, 2014 IEEE/CIC International Conference on Communications in China, ICCC 2014, Shanghai, China, 13/10/14. https://doi.org/10.1109/ICCChina.2014.7008317

Variational message passing for joint localization and synchronization in wireless sensor networks. / YUAN, Weijie; WU, Nan; WANG, Hua et al.
2014 IEEE/CIC International Conference on Communications in China, ICCC 2014. IEEE, 2015. p. 437-441 7008317.

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

TY - GEN

T1 - Variational message passing for joint localization and synchronization in wireless sensor networks

AU - YUAN, Weijie

AU - WU, Nan

AU - WANG, Hua

AU - LI, Bin

AU - KUANG, Jingming

PY - 2015/1/12

Y1 - 2015/1/12

N2 - We consider an asynchronous sensor network where target sensors aim to locate themselves unambiguously. Timing information is a vital requirement for time-based localization. Joint localization and synchronization estimation can improve position accuracy and reduce both communication overhead and power cost. In this paper, a novel distributed cooperative joint localization and synchronization algorithm based on factor graph and variational message passing (VMP) is proposed. We linearize the nonlinear terms in observation function in order to obtain a closed Gaussian form solution of the joint estimation problem. Simulation results show that the proposed joint localization and synchronization method performs very close to those sample based approaches with much lower complexity and communication overhead.

AB - We consider an asynchronous sensor network where target sensors aim to locate themselves unambiguously. Timing information is a vital requirement for time-based localization. Joint localization and synchronization estimation can improve position accuracy and reduce both communication overhead and power cost. In this paper, a novel distributed cooperative joint localization and synchronization algorithm based on factor graph and variational message passing (VMP) is proposed. We linearize the nonlinear terms in observation function in order to obtain a closed Gaussian form solution of the joint estimation problem. Simulation results show that the proposed joint localization and synchronization method performs very close to those sample based approaches with much lower complexity and communication overhead.

KW - Factor graph

KW - Gaussian message passing

KW - Joint localization and synchronization

KW - Variational method

KW - Wireless sensor network

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U2 - 10.1109/ICCChina.2014.7008317

DO - 10.1109/ICCChina.2014.7008317

M3 - Conference paper (refereed)

AN - SCOPUS:84922537354

SP - 437

EP - 441

BT - 2014 IEEE/CIC International Conference on Communications in China, ICCC 2014

PB - IEEE

T2 - 2014 IEEE/CIC International Conference on Communications in China, ICCC 2014

Y2 - 13 October 2014 through 15 October 2014

ER -

Variational message passing for joint localization and synchronization in wireless sensor networks

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Keywords

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