Application of Fingerprint-based Indoor Localization System Using IEEE 802.15.4 to Two-Floors Environment

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

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

4 Citations (Scopus)

Abstract

The increasing popularity of indoor localization systems brings the need of providing energy and cost-efficient service. Currently, we are developing the fingerprint-based indoor localization system using IEEE 802.15.4 named FILS15.4. It uses a small transmitter powered by a coin battery, limits the detection resolution by one room, allocates several receivers on the field, and assigns multiple fingerprints using the parameter optimization method. It has been evaluated only for one-floor environments. This paper investigates the applicability of FILS15.4 in a two-floors environment of the #2 Engineering Building in Okayama University. The receivers allocated on both floors are used together for localization. The experiment results confirm sufficient detection accuracy.

Original languageEnglish
Title of host publicationLifeTech 2022 - 2022 IEEE 4th Global Conference on Life Sciences and Technologies
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages239-240
Number of pages2
ISBN (Electronic)9781665419048
DOIs
Publication statusPublished - 2022
Event4th IEEE Global Conference on Life Sciences and Technologies, LifeTech 2022 - Osaka, Japan
Duration: 2022 Mar 72022 Mar 9

Publication series

NameLifeTech 2022 - 2022 IEEE 4th Global Conference on Life Sciences and Technologies

Conference

Conference4th IEEE Global Conference on Life Sciences and Technologies, LifeTech 2022
Country/TerritoryJapan
CityOsaka
Period2022/03/072022/03/09

Keywords

  • IEEE 802.15.4
  • LQI
  • MQTT
  • Raspberry Pi
  • localization
  • two floors

ASJC Scopus subject areas

  • Agricultural and Biological Sciences (miscellaneous)
  • Artificial Intelligence
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Biomedical Engineering
  • Instrumentation
  • Education

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