FIMO: A novel WiFi localization method

Yao Zhou, Leilei Jin, Cheqing Jin, Aoying Zhou

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

2 Scopus citations

Abstract

With the development of technology and the proliferation of mobile computing devices, people's need for pervasive computing is rapidly growing. As a critical part of pervasive computing, Location Based Service (LBS) has drawn more and more attention. Localization techniques that report the real-time position of a moving object are key in this area. So far, the outdoor localization technologies (i.e, GPS) are relatively mature, while the indoor localization technologies are still under improvement. In this paper, we propose a novel WiFi localization method, called FIMO (FInd Me Out). In this method, we take the instability of signal strength and the movement of objects into consideration when determining the location based on Fingerprint. Experimental results show the proposed method is capable of estimating a moving object's location precisely.

Original languageEnglish
Title of host publicationWeb Technologies and Applications - 15th Asia-Pacific Web Conference, APWeb 2013, Proceedings
Pages437-448
Number of pages12
DOIs
StatePublished - 2013
Event15th Asia-Pacific Web Conference on Web Technologies and Applications, APWeb 2013 - Sydney, NSW, Australia
Duration: 4 Apr 20136 Apr 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7808 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference15th Asia-Pacific Web Conference on Web Technologies and Applications, APWeb 2013
Country/TerritoryAustralia
CitySydney, NSW
Period4/04/136/04/13

Keywords

  • LBS
  • WiFi
  • indoor
  • localization

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