Exploiting user movement direction and hidden access point for smartphone localization

Eugene Kim, Seungho Yoo, Hwangnam Kim

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

Abstract

In this paper, we propose a GPS-less localization method, called Hidden Access Point Estimation-based Localization or HAPEL to pinpoint user's current position in an underground or indoor environment, especially where APs are placed scarcely in that two or less Wi-Fi access points are within the scanning range. Conceptually, HAPEL enhances the weighted centroid localization by exploiting hidden access points and estimating the direction of user movement. The movement direction can be estimated with digital compass, accelerometer and gyroscope all of which are usually installed on smartphones, and the estimation result is used to choose which hidden access points participate in the weighted centroid localization. We have conducted a performance evaluation study on HAPEL in an empirical test-bed. The results indicate that HAPEL improves the accuracy of the weighted centroid localization significantly.

Original languageEnglish
Title of host publicationICUFN 2013 - 5th International Conference on Ubiquitous and Future Networks
Pages450-455
Number of pages6
DOIs
Publication statusPublished - 2013
Event5th International Conference on Ubiquitous and Future Networks, ICUFN 2013 - Da Nang, Viet Nam
Duration: 2013 Jul 22013 Jul 5

Publication series

NameInternational Conference on Ubiquitous and Future Networks, ICUFN
ISSN (Print)2165-8528
ISSN (Electronic)2165-8536

Other

Other5th International Conference on Ubiquitous and Future Networks, ICUFN 2013
Country/TerritoryViet Nam
CityDa Nang
Period13/7/213/7/5

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Hardware and Architecture

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