A Parameter Optimization Method for Fingerprint-Based Indoor Localization System Using IEEE 802.15.4 Devices

Yuanzhi Huo, Pradini Puspitaningayu, Nobuo Funabiki, Kazushi Hamazaki, Minoru Kuribayashi, Kazuyuki Kojima

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

Abstract

To achieve the high accuracy while wearing an inexpensive, tiny, and long-life transmitter, we have developed a fingerprint-based indoor localization system. It adopts IEEE802.15.4 devices and restricts the detection granularity to one room in an indoor environment. Unfortunately, wireless signals of the devices often fluctuate due to human movements and other uncontrollable factors. It has been observed that it can be solved by assigning plural fingerprints to one room. However, their values need to be properly selected. In this paper, we study the parameter optimization method for this indoor localization system. An existing parameter optimization tool is employed where the score function is newly defined to estimate the optimality of the current parameters. For evaluations, we apply the method to the measured data using the system in #2 Engineering Building of Okayama University. The results show that the detection accuracy becomes higher than 95% for any room by increasing the number of fingerprints and optimizing the parameter values by the proposal.

Original languageEnglish
Title of host publication2021 3rd International Conference on Computer Communication and the Internet, ICCCI 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages136-140
Number of pages5
ISBN (Electronic)9781728176185
DOIs
Publication statusPublished - Jun 25 2021
Event3rd International Conference on Computer Communication and the Internet, ICCCI 2021 - Virtual, Nagoya, Japan
Duration: Jun 25 2021Jun 27 2021

Publication series

Name2021 3rd International Conference on Computer Communication and the Internet, ICCCI 2021

Conference

Conference3rd International Conference on Computer Communication and the Internet, ICCCI 2021
Country/TerritoryJapan
CityVirtual, Nagoya
Period6/25/216/27/21

Keywords

  • fingerprint
  • IEEE802.15.4
  • indoor localization
  • LQI
  • parameter optimization

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Information Systems and Management

Fingerprint

Dive into the research topics of 'A Parameter Optimization Method for Fingerprint-Based Indoor Localization System Using IEEE 802.15.4 Devices'. Together they form a unique fingerprint.

Cite this