Detecting movement of beacons in location-tracking wireless sensor networks

Sheng Po Kuo*, Hsiao Ju Kuo, Yu-Chee Tseng, Yueh Feng Lee

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

9 Scopus citations

Abstract

Localization is a critical issue in wireless sensor networks. In most localization schemes, there are beacons being placed as references to determine the positions of objects or events appearing in the sensing field. The underlying assumption is that beacons are always static. In this work, we define a new Beacon Movement Detection (BMD) problem. Assuming that there are unnoticed changes of locations of some beacons in the system, this problem is concerned about how to automatically monitor such situations and identify these beacons. Removal of such beacons in the positioning engine may improve the localization accuracy. Two schemes are proposed to solve the BMD problem. Finally, we evaluate how these solutions can improve the accuracy of localization schemes in case that there are unnoticed movement of some beacons. Simulation results show that our solutions alleviate 53% the decrease of positioning accuracy caused by the exceptional beacon movement.

Original languageEnglish
Title of host publication2007 IEEE 66th Vehicular Technology Conference, VTC 2007-Fall
Pages362-366
Number of pages5
DOIs
StatePublished - 1 Dec 2007
Event2007 IEEE 66th Vehicular Technology Conference, VTC 2007-Fall - Baltimore, MD, United States
Duration: 30 Sep 20073 Oct 2007

Publication series

NameIEEE Vehicular Technology Conference
ISSN (Print)1550-2252

Conference

Conference2007 IEEE 66th Vehicular Technology Conference, VTC 2007-Fall
CountryUnited States
CityBaltimore, MD
Period30/09/073/10/07

Keywords

  • Context awareness
  • Location-based service
  • Pervasive computing
  • Positioning
  • Wireless sensor network

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