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Paper Abstract and Keywords
Presentation 2021-11-26 15:50
Indoor Localization for Pedestrians Using Contact Information Between Smartphones
Shino Shiraki, Aoi Suzuki, Takuhiro Uehara, Yuto Ohashi, Shigeo Shioda (Chiba Univ.) NS2021-94
Abstract (in Japanese) (See Japanese page) 
(in English) The COVID-19 Contact-Confirming Application (COCOA) confirms the contact history with infected persons by the identifier broadcast by the smartphone. In this paper, we propose two indoor localization algorithms using contact information. In the indoor facility, pedestrian-carried devices and multiple fixed-positioned anchor nodes broadcast their identifier to the surroundings and periodically send the identifiers that are recognized as close based on the received signal strength from the surrounding device to the server. The server used the number of hops in the proximity relationship between the collected devices to estimate the pedestrian's position. We showed the result of evaluating the localization accuracy of the proposed method by simulation.
Keyword (in Japanese) (See Japanese page) 
(in English) position estimation / non-linear optimization / proximity information / internet of things / / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 262, NS2021-94, pp. 50-55, Nov. 2021.
Paper # NS2021-94 
Date of Issue 2021-11-18 (NS) 
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)
Download PDF NS2021-94

Conference Information
Committee CQ ICM NS NV  
Conference Date 2021-11-25 - 2021-11-26 
Place (in Japanese) (See Japanese page) 
Place (in English) JR Hakata Stn. Hakata EkiHigashi Rental Room 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Network quality, Network measurement/management, Network virtualization, Network service, Blockchain, Security, Network intelligence/AI, etc. 
Paper Information
Registration To NS 
Conference Code 2021-11-CQ-ICM-NS-NV 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Indoor Localization for Pedestrians Using Contact Information Between Smartphones 
Sub Title (in English)  
Keyword(1) position estimation  
Keyword(2) non-linear optimization  
Keyword(3) proximity information  
Keyword(4) internet of things  
1st Author's Name Shino Shiraki  
1st Author's Affiliation Chiba University (Chiba Univ.)
2nd Author's Name Aoi Suzuki  
2nd Author's Affiliation Chiba University (Chiba Univ.)
3rd Author's Name Takuhiro Uehara  
3rd Author's Affiliation Chiba University (Chiba Univ.)
4th Author's Name Yuto Ohashi  
4th Author's Affiliation Chiba University (Chiba Univ.)
5th Author's Name Shigeo Shioda  
5th Author's Affiliation Chiba University (Chiba Univ.)
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Speaker Author-1 
Date Time 2021-11-26 15:50:00 
Presentation Time 25 minutes 
Registration for NS 
Paper # NS2021-94 
Volume (vol) vol.121 
Number (no) no.262 
Page pp.50-55 
Date of Issue 2021-11-18 (NS) 

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