A localization error estimation method based on maximum likelihood for wireless sensor networks

Shuai Li; Max Q.H. Meng; Huawei Liang; Zhuhong You; Yajin Zhou; Wanming Chen

doi:10.1109/ICMA.2007.4303567

A localization error estimation method based on maximum likelihood for wireless sensor networks

Shuai Li, Max Q.H. Meng, Huawei Liang, Zhuhong You, Yajin Zhou, Wanming Chen

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

1 Citation (Scopus)

Abstract

A composed localization error estimation method is presented for the application in wireless sensor networks (WSNs) which employs maximum likelihood (ML) to locate. Two statistic indexes are given in this method to characterize the whole localization performance of WSN in error aspect. The number of WSN nodes can be determined before deploying to achieve the necessary localization accuracy. Through mathematic analysis, the expressions of mathematical expectation and standard deviation of a WSN are acquired. Besides, based on the expressions, the two indexes are calculated through Monte Carlo simulation. An application applying this method demonstrates the procedure of determining the optimum numbers of unknown nodes (who doesn't know their Positions) and anchor nodes (who know their Positions).

Original language	English
Title of host publication	Proceedings of the 2007 IEEE International Conference on Mechatronics and Automation, ICMA 2007
Pages	348-353
Number of pages	6
DOIs	https://doi.org/10.1109/ICMA.2007.4303567
Publication status	Published - 18 Dec 2007
Externally published	Yes
Event	2007 IEEE International Conference on Mechatronics and Automation, ICMA 2007 - Harbin, China Duration: 5 Aug 2007 → 8 Aug 2007

Conference

Conference	2007 IEEE International Conference on Mechatronics and Automation, ICMA 2007
Country	China
City	Harbin
Period	5/08/07 → 8/08/07

Keywords

Composed error
Localization error
Maximum likelihood
Nonlinear least square
Ranging error
Wireless sensor network

ASJC Scopus subject areas

Artificial Intelligence
Software
Control and Systems Engineering
Mechanical Engineering

More information

10.1109/ICMA.2007.4303567

Cite this

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title = "A localization error estimation method based on maximum likelihood for wireless sensor networks",

abstract = "A composed localization error estimation method is presented for the application in wireless sensor networks (WSNs) which employs maximum likelihood (ML) to locate. Two statistic indexes are given in this method to characterize the whole localization performance of WSN in error aspect. The number of WSN nodes can be determined before deploying to achieve the necessary localization accuracy. Through mathematic analysis, the expressions of mathematical expectation and standard deviation of a WSN are acquired. Besides, based on the expressions, the two indexes are calculated through Monte Carlo simulation. An application applying this method demonstrates the procedure of determining the optimum numbers of unknown nodes (who doesn't know their Positions) and anchor nodes (who know their Positions).",

keywords = "Composed error, Localization error, Maximum likelihood, Nonlinear least square, Ranging error, Wireless sensor network",

author = "Shuai Li and Meng, {Max Q.H.} and Huawei Liang and Zhuhong You and Yajin Zhou and Wanming Chen",

year = "2007",

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doi = "10.1109/ICMA.2007.4303567",

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note = "2007 IEEE International Conference on Mechatronics and Automation, ICMA 2007 ; Conference date: 05-08-2007 Through 08-08-2007",

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Li, S, Meng, MQH, Liang, H, You, Z, Zhou, Y & Chen, W 2007, A localization error estimation method based on maximum likelihood for wireless sensor networks. in Proceedings of the 2007 IEEE International Conference on Mechatronics and Automation, ICMA 2007., 4303567, pp. 348-353, 2007 IEEE International Conference on Mechatronics and Automation, ICMA 2007, Harbin, China, 5/08/07. https://doi.org/10.1109/ICMA.2007.4303567

A localization error estimation method based on maximum likelihood for wireless sensor networks. / Li, Shuai; Meng, Max Q.H.; Liang, Huawei; You, Zhuhong; Zhou, Yajin; Chen, Wanming.

Proceedings of the 2007 IEEE International Conference on Mechatronics and Automation, ICMA 2007. 2007. p. 348-353 4303567.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

TY - GEN

T1 - A localization error estimation method based on maximum likelihood for wireless sensor networks

AU - Li, Shuai

AU - Meng, Max Q.H.

AU - Liang, Huawei

AU - You, Zhuhong

AU - Zhou, Yajin

AU - Chen, Wanming

PY - 2007/12/18

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AB - A composed localization error estimation method is presented for the application in wireless sensor networks (WSNs) which employs maximum likelihood (ML) to locate. Two statistic indexes are given in this method to characterize the whole localization performance of WSN in error aspect. The number of WSN nodes can be determined before deploying to achieve the necessary localization accuracy. Through mathematic analysis, the expressions of mathematical expectation and standard deviation of a WSN are acquired. Besides, based on the expressions, the two indexes are calculated through Monte Carlo simulation. An application applying this method demonstrates the procedure of determining the optimum numbers of unknown nodes (who doesn't know their Positions) and anchor nodes (who know their Positions).

KW - Composed error

KW - Localization error

KW - Maximum likelihood

KW - Nonlinear least square

KW - Ranging error

KW - Wireless sensor network

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BT - Proceedings of the 2007 IEEE International Conference on Mechatronics and Automation, ICMA 2007

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ER -

A localization error estimation method based on maximum likelihood for wireless sensor networks

Abstract

Conference

Keywords

ASJC Scopus subject areas

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