Evaluations of Fingerprint-based Indoor Positioning System Using IEEE 802.15.4

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

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

Abstract

Nowadays, indoor positioning systems (IPS) have gained popularity for offering location-based services. Previously, we have proposed the fingerprint-based indoor positioning system using IEEE 802.15.4. By limiting the positioning resolution by one room, it can detect the current position accurately. However, this detection was only performed at one time, thus the accuracy has not been observed. In this paper, we present experimental evaluations of the implemented system when it runs for a long time on two floors with 15 rooms of #2 Engineering Building in Okayama University. The results show that it achieves 93.41% and 91.83% average accuracy of the correct room detection on each floor.

Original languageEnglish
Title of host publication2021 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665433280
DOIs
Publication statusPublished - 2021
Event8th IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021 - Penghu, Taiwan, Province of China
Duration: Sep 15 2021Sep 17 2021

Publication series

Name2021 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021

Conference

Conference8th IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021
Country/TerritoryTaiwan, Province of China
CityPenghu
Period9/15/219/17/21

Keywords

  • detection accuracy
  • IoT
  • LQI
  • Mono Wireless
  • MQTT
  • Python
  • Raspberry Pi
  • SQLite

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Control and Optimization
  • Instrumentation

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