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Paper Abstract and Keywords
Presentation 2021-05-10 11:45
A Study of Parameter Optimization Method for Fingerprint-based Indoor Localization System Using IEEE 802.15.4 Devices
Yuanzhi Huo, Pradini Puspitaningayu, Kazushi Hamazaki, Nobuo Funabiki, Minoru Kuribayashi (Okayama Univ), Kazuyuki Kojima (Shonan Institute of Technology) LOIS2021-4
Abstract (in Japanese) (See Japanese page) 
(in English) 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 90% for any room by increasing the number of fingerprints and optimizing the parameter values by the proposal.
Keyword (in Japanese) (See Japanese page) 
(in English) indoor localization / fingerprint / IEEE802.15.4 / parameter optimization / LQI / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 12, LOIS2021-4, pp. 19-24, May 2021.
Paper # LOIS2021-4 
Date of Issue 2021-05-03 (LOIS) 
ISSN Online edition: ISSN 2432-6380
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
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Conference Information
Conference Date 2021-05-10 - 2021-05-11 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To LOIS 
Conference Code 2021-05-LOIS-SPT-GN 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study of Parameter Optimization Method for Fingerprint-based Indoor Localization System Using IEEE 802.15.4 Devices 
Sub Title (in English)  
Keyword(1) indoor localization  
Keyword(2) fingerprint  
Keyword(3) IEEE802.15.4  
Keyword(4) parameter optimization  
Keyword(5) LQI  
1st Author's Name Yuanzhi Huo  
1st Author's Affiliation Okayama University (Okayama Univ)
2nd Author's Name Pradini Puspitaningayu  
2nd Author's Affiliation Okayama University (Okayama Univ)
3rd Author's Name Kazushi Hamazaki  
3rd Author's Affiliation Okayama University (Okayama Univ)
4th Author's Name Nobuo Funabiki  
4th Author's Affiliation Okayama University (Okayama Univ)
5th Author's Name Minoru Kuribayashi  
5th Author's Affiliation Okayama University (Okayama Univ)
6th Author's Name Kazuyuki Kojima  
6th Author's Affiliation Shonan Institute of Technology (Shonan Institute of Technology)
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Speaker Author-1 
Date Time 2021-05-10 11:45:00 
Presentation Time 25 minutes 
Registration for LOIS 
Paper # LOIS2021-4 
Volume (vol) vol.121 
Number (no) no.12 
Page pp.19-24 
Date of Issue 2021-05-03 (LOIS) 

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