Location estimation using probability map of a ZigBee sensor network

Chia How Lin, Kai-Tai Song

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

2 Scopus citations

Abstract

For an on-demand robotic system, the location aware module works to provide location information of interested objects and mobile robots. This information supports various intelligent behaviors of a service robot. In this paper, a novel probability-based approach to building up a location aware system is presented. In this approach, the uncertainties and inconsistency normally suffered from received signal strength indicator (RSSI) measurements are handled with minimum prior calibration effort. By taking merely one off-line calibration measurement in a ZigBee sensor network, the inherent problem of signal uncertainty of to-be-localized nodes can be effectively resolved. The proposed RSSI-based algorithm thus has the flexibility in the thus has the flexibility in deployment of sensor nodes in various environments. The proposed algorithm has been verified in several typical environments. Comparison experiments show that the method outperforms existent algorithms in different environments.

Original languageEnglish
Title of host publication2013 International Conference on Advanced Robotics and Intelligent Systems, ARIS 2013 - Conference Proceedings
Pages11-16
Number of pages6
DOIs
StatePublished - 9 Sep 2013
Event2013 International Conference on Advanced Robotics and Intelligent Systems, ARIS 2013 - Tainan, Taiwan
Duration: 3 May 20132 Jun 2013

Publication series

Name2013 International Conference on Advanced Robotics and Intelligent Systems, ARIS 2013 - Conference Proceedings

Conference

Conference2013 International Conference on Advanced Robotics and Intelligent Systems, ARIS 2013
CountryTaiwan
CityTainan
Period3/05/132/06/13

Keywords

  • Location aware system
  • received signal strength indicator
  • robot on demand
  • sensor network

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