Skip to main navigation Skip to search Skip to main content

Error estimation of iterative maximum likelihood localization in wireless sensor networks

  • Jizhong Zhao
  • , Lufeng Mo
  • , Xiaoping Wu
  • , Guoying Wang
  • , Enbin Liu
  • , Dan Dai
  • Xi'an Jiaotong University
  • Zhejiang Agriculture and Forestry University

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

Based on maximum likelihood localization an error estimation method is proposed to evaluate the localization performance under different conditions. The localization error would be accumulated and transferred during the process of iterative localization when the errors of located nodes are caused by ranging errors or anchor location errors. When the error estimation method is applied to the iterative localization, the simulations show more anchors, small noise and less iterative times would decrease the errors of located nodes. Since the anchor location errors are transformed to the equivalent ranging errors, the maximum likelihood localization approach with anchor position uncertainty is also put forward to improve the localization accuracy. The simulations also demonstrate the validity of our maximum likelihood localization approach when the anchor positions are uncertain.

Original languageEnglish
Pages (from-to)277-295
Number of pages19
JournalAd-Hoc and Sensor Wireless Networks
Volume23
Issue number3-4
StatePublished - 2014

Keywords

  • Error estimation
  • Iterative localization
  • Maximum likelihood
  • Wireless sensor networks

Fingerprint

Dive into the research topics of 'Error estimation of iterative maximum likelihood localization in wireless sensor networks'. Together they form a unique fingerprint.

Cite this