Rule-based WiFi localization methods

Qiuxia Chen, Dik Lun Lee, Wang Chien Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

23 Scopus citations

Abstract

The rule-based localization methods proposed in this paper are based on two important observations. First, although the absolute RSS values change with time, the relative RSS (RRSS) values between several Access Points (APs) are more stable than the absolute RSSs. Thus, we can use RRSSs as rules for inferring a client's location. Second, when a unique location cannot be obtained based on RRSS rules, the localization process can backtrack to the previous observed client location. By analyzing the accessible paths on the floor plan, locations that are not reacheable from the previous location can be disqualified. Based on these two key observations, we propose several localization methods, implement them in a life environment and conduct extensive experiments to measure the localization accuracy of the proposed methods. We found that our methods achieve much higher accuracy than the state-of-the-art localization methods, namely, RADAR, LOCADIO and WHAM!.

Original languageEnglish (US)
Title of host publicationProceedings of The 5th International Conference on Embedded and Ubiquitous Computing, EUC 2008
Pages252-258
Number of pages7
DOIs
Publication statusPublished - Dec 1 2008
Event5th International Conference on Embedded and Ubiquitous Computing, EUC 2008 - Shanghai, China
Duration: Dec 17 2008Dec 20 2008

Publication series

NameProceedings of The 5th International Conference on Embedded and Ubiquitous Computing, EUC 2008
Volume1

Other

Other5th International Conference on Embedded and Ubiquitous Computing, EUC 2008
CountryChina
CityShanghai
Period12/17/0812/20/08

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All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Software
  • Communication

Cite this

Chen, Q., Lee, D. L., & Lee, W. C. (2008). Rule-based WiFi localization methods. In Proceedings of The 5th International Conference on Embedded and Ubiquitous Computing, EUC 2008 (pp. 252-258). [4756346] (Proceedings of The 5th International Conference on Embedded and Ubiquitous Computing, EUC 2008; Vol. 1). https://doi.org/10.1109/EUC.2008.51