Using wi-fi signal strength to localize in Wireless sensor networks

Eddie C.L. Chan, George Baciu, S. C. Mak

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

50 Citations (Scopus)

Abstract

Wireless sensor network (WSN) is widely used in many applications such as localization and real-time tracking system. Previous researches commonly suffer the line-of-sight (LOS) problem and dependence on contrast of the background light intensity. Location Fingerprinting (LF) method uses a training dataset of received signal strength (RSS) at different location to track the target. The drawbacks of LF method are needed to have extensive training dataset surveying and highly affected by the changing of internal building infrastructure. In this paper, a sensor-based LF method will be implemented to replace extensive site-surveying. Using a Kalman Filter tracks multiple points to characterize a trajectory. Our experimental result shows that the effectiveness of our method leads to have more accurate and effective tracking system.
Original languageEnglish
Title of host publicationProceedings - 2009 WRI International Conference on Communications and Mobile Computing, CMC 2009
Pages538-542
Number of pages5
Volume1
DOIs
Publication statusPublished - 20 Apr 2009
Event2009 WRI International Conference on Communications and Mobile Computing, CMC 2009 - Kunming, Yunnan, China
Duration: 6 Jan 20098 Jan 2009

Conference

Conference2009 WRI International Conference on Communications and Mobile Computing, CMC 2009
CountryChina
CityKunming, Yunnan
Period6/01/098/01/09

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Electrical and Electronic Engineering

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