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 proceedingConference article published in proceeding or bookAcademic researchpeer-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 languageEnglish
Title of host publicationProceedings of the 2007 IEEE International Conference on Mechatronics and Automation, ICMA 2007
Pages348-353
Number of pages6
DOIs
Publication statusPublished - 18 Dec 2007
Externally publishedYes
Event2007 IEEE International Conference on Mechatronics and Automation, ICMA 2007 - Harbin, China
Duration: 5 Aug 20078 Aug 2007

Conference

Conference2007 IEEE International Conference on Mechatronics and Automation, ICMA 2007
CountryChina
CityHarbin
Period5/08/078/08/07

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

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