Feature-based room-level localization of unmodified smartphones

Jiaxing Shen, Jiannong Cao, Xuefeng Liu, Jiaqi Wen, Yuanyi Chen

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

9 Citations (Scopus)


Locating smartphone users will enable numerous potential applications such as monitoring customers in shopping malls. However, conventional received signal strength (RSS)-based room-level localization methods are not likely to distinguish neighboring zones accurately due to similar RSS fingerprints. We solve this problem by proposing a system called feature-based room-level localization (FRL). FRL is based on an observation that different rooms vary in internal structures and human activities which can be reflected by RSS fluctuation ranges and user dwell time respectively. These two features combing with RSS can be exploited to improve the localization accuracy. To enable localization of unmodified smartphones, FRL utilizes probe requests, which are periodically broadcast by smartphones to discover nearby access points (APs). Experiments indicate that FRL can reliably locate users in neighboring zones and achieve a 10% accuracy gain, compared with conventional methods like the histogram method.
Original languageEnglish
Title of host publicationSmart City 360 - 1st EAI International Summit, Smart City 360, Revised Selected Papers
PublisherSpringer Verlag
Number of pages12
ISBN (Print)9783319336800
Publication statusPublished - 1 Jan 2016
EventInternational Conference on Sustainable Solutions Beyond Mobility of Goods, SustainableMoG 2015 - Bratislava, Slovakia
Duration: 13 Oct 201514 Oct 2015

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
ISSN (Print)1867-8211


ConferenceInternational Conference on Sustainable Solutions Beyond Mobility of Goods, SustainableMoG 2015


  • Fingerprinting
  • Room-level localization
  • RSS

ASJC Scopus subject areas

  • Computer Networks and Communications


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