Investigations of Detection Accuracy Improvements for Fingerprint-based Indoor Localization System Using IEEE 802.15.4

Pradini Puspitaningayu, Yuanzhi Huo, Nobuo Funabiki, Kazushi Hamazaki, Minoru Kuribayashi, Wen Chung Kao

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

1 Citation (Scopus)

Abstract

Previously, we have studied the fingerprint-based indoor localization system using IEEE 802.15.4 wireless devices as low-power and compact ones suitable for continuous possessions of the users. For its practical applications, this FILS15.4 limits the detection resolution to one room in the target field. Unfortunately, human movements often cause the fluctuation of the receiving signal strength by affecting wireless propagation dynamics, which decreases the room detection accuracy of FILS15.4. To overcome the problem, in this paper, we investigate the detection accuracy improvement of FILS15.4, when the number of allocated receivers is increased in the field, and the number of fingerprints is increased for each room where the proper values are selected using the parameter optimization method. For the evaluation, we conducted extensive experiments using the FILS15.4 testbed system with three to five receivers at two floors of #2 Engineering Building in Okayama University. The results show that the use of five receivers achieves the accuracy up to 99.71% on average, whereas the use of three or four receivers does 82.64% and 97.37% respectively.

Original languageEnglish
Title of host publicationProceedings - 4th International Conference on Vocational Education and Electrical Engineering
Subtitle of host publicationStrengthening Engagement with Communities through Artificial Intelligence Application in Education, Electrical Engineering and Information Technology, ICVEE 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665405997
DOIs
Publication statusPublished - 2021
Event4th International Conference on Vocational Education and Electrical Engineering, ICVEE 2021 - Virtual, Online, Indonesia
Duration: 2021 Oct 22021 Oct 3

Publication series

NameProceedings - 4th International Conference on Vocational Education and Electrical Engineering: Strengthening Engagement with Communities through Artificial Intelligence Application in Education, Electrical Engineering and Information Technology, ICVEE 2021

Conference

Conference4th International Conference on Vocational Education and Electrical Engineering, ICVEE 2021
Country/TerritoryIndonesia
CityVirtual, Online
Period2021/10/022021/10/03

Keywords

  • IEEE 802.15.4
  • Raspberry Pi
  • fingerprint
  • indoor localization system
  • receiver
  • room detection accuracy

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Education
  • Hardware and Architecture
  • Information Systems

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