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Dynamic radio map construction for WLAN indoor location

  • Huimin Wang*
  • , Lin Ma
  • , Yubin Xu
  • , Zhian Deng
  • *Corresponding author for this work
  • Harbin Institute of Technology

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

Abstract

A novel indoor location algorithm based on dynamic Radio Maps construction in wireless local area network (WLAN) is proposed. The limitation of previous static Radio Map method is that reconstruction work must be taken to adapt the variation of indoor wireless environment. By taking received signal strength (RSS) values varying over time and space into account, a dynamic Radio Map is constructed to avoid this work and thus the cost for location system is reduced significantly. During offline phase, the relationship between RSS of calibration points and reference points is established by artificial neural network (ANN), and then during online phase, the real-time RSS values at reference points are predicted based on the RSS collected at calibration points in real time. Through the simulation of nearest neighbor (KNN) indoor location method for location accuracy, the feasibility and effectiveness of dynamic Radio Map construction based indoor location method is verified.

Original languageEnglish
Title of host publicationProceedings - 2011 3rd International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2011
Pages162-165
Number of pages4
DOIs
StatePublished - 2011
Event3rd International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2011 - Hangzhou, China
Duration: 26 Aug 201127 Aug 2011

Publication series

NameProceedings - 2011 3rd International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2011
Volume2

Conference

Conference3rd International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2011
Country/TerritoryChina
CityHangzhou
Period26/08/1127/08/11

Keywords

  • RSS
  • WLAN
  • calibration points
  • dynamic Radio Maps
  • indoor location

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