Indoor positioning system based on an improved weighted-trilateration algorithm with fingerprinting technique

Hayeon Choi, Youngkyoung Koo, Seona Lee, Sangsoo Park

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Location Based Services (LBS) are software algorithm systems used by internet protocol capable wireless device technologies assist and/or replace Global Positioning System (GPS) with their task of acquiring and interpreting location describing data. LBS, and the data they provide, are increasingly being used by a growing number of users. As the demand for LBS grows, increasingly there is an additional requirement for more accurate indoor location position determination. Indoor localization algorithm has always been a challenge for location describing device manufacturers. This paper proposes a solution for improving accuracy while also decreasing computational requirements. Leveraging readily obtainable, cost-effective, Bluetooth Low Energy (BLE) Beacons, the research details a modified trilateration algorithm utilizing weighted nodes coupled with emitter/receiver distance measuring improvements accomplished using transmitter emission fingerprinting techniques. The proposed algorithm is evaluated through thorough experimentations that produce a reduction in difference between the real and measured location. The results found are solely obtained through algorithmic solutions utilizing standardized transmission protocols and readily available devices technologies.

Original languageEnglish
Pages (from-to)165-176
Number of pages12
JournalInternational Journal of Multimedia and Ubiquitous Engineering
Volume11
Issue number9
DOIs
StatePublished - 2016

Keywords

  • Fingerprinting
  • iBeacon
  • Indoor positioning system
  • LBS
  • Weighted-trilateration algorithm

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