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Paper Abstract and Keywords
Presentation 2022-11-16 14:30
Floor Height Estimation Using 920 MHz-band LoRaWAN for Three-dimensional Position Estimation at Construction Sites
Takahiro Inoue, Kyosuke Nakano, Osamu Muta (Kyushu Univ), Takuto Watanabe, Naohiro Ikeda (TOKYU CONSTRUCTION) RCS2022-169
Abstract (in Japanese) (See Japanese page) 
(in English) Information and communication technologies have been made use in construction sites recently. At large-scale construction sites, wireless positioning technology is expected to visualize locations of equipment and workers, through communication network, for improving safety of workers and efficiency of management of equipment. However, no wireless networks exist in such buildings. Moreover, building conditions can change drastically from moment to moment. Therefore, to establish three-dimensional positioning technology that can cover the entire building with a small number of nodes at the construction site is a challenge. In this presentation, we propose a three-dimensional position estimation scheme using 920MHz-band LoRaWAN at construction sites. More concretely, we propose a method to estimate target’s floor height by using received-signal-strength-indication (RSSI) information obtained through a small number of sparsely distributed gateways in a building. First, we propose a method for estimating floor hight where transceiver are located based on the received power intensity (RSSI) information using a small number of gateways (base stations) sparsely located in a building. Second, we show the effectiveness of the proposed method when applied to LoRaWAN in the 920 MHz band, which is a typical wireless communication system in the unlicensed band, and IEEE802.11 standard wireless LAN in the 2.4 GHz and 5.6 GHz bands through indoor experiments.
Keyword (in Japanese) (See Japanese page) 
(in English) LPWAN / IoT / LoRaWAN / three-dimensional indoor positioning / floor height estimation / Received-sig- nal-strength-indication (RSSI) / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 252, RCS2022-169, pp. 85-90, Nov. 2022.
Paper # RCS2022-169 
Date of Issue 2022-11-08 (RCS) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction
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 RCS2022-169

Conference Information
Committee RCS AP UWT  
Conference Date 2022-11-15 - 2022-11-17 
Place (in Japanese) (See Japanese page) 
Place (in English) Kyushu University, and Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Adaptive Antenna, Equalization, Interference Canceler, MIMO, Wireless Communications, etc. 
Paper Information
Registration To RCS 
Conference Code 2022-11-RCS-AP-UWT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Floor Height Estimation Using 920 MHz-band LoRaWAN for Three-dimensional Position Estimation at Construction Sites 
Sub Title (in English)  
Keyword(1) LPWAN  
Keyword(2) IoT  
Keyword(3) LoRaWAN  
Keyword(4) three-dimensional indoor positioning  
Keyword(5) floor height estimation  
Keyword(6) Received-sig- nal-strength-indication (RSSI)  
Keyword(7)  
Keyword(8)  
1st Author's Name Takahiro Inoue  
1st Author's Affiliation Kyushu University (Kyushu Univ)
2nd Author's Name Kyosuke Nakano  
2nd Author's Affiliation Kyushu University (Kyushu Univ)
3rd Author's Name Osamu Muta  
3rd Author's Affiliation Kyushu University (Kyushu Univ)
4th Author's Name Takuto Watanabe  
4th Author's Affiliation TOKYU CONSTRUCTION CO., LTD (TOKYU CONSTRUCTION)
5th Author's Name Naohiro Ikeda  
5th Author's Affiliation TOKYU CONSTRUCTION CO., LTD (TOKYU CONSTRUCTION)
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Speaker Author-1 
Date Time 2022-11-16 14:30:00 
Presentation Time 25 minutes 
Registration for RCS 
Paper # RCS2022-169 
Volume (vol) vol.122 
Number (no) no.252 
Page pp.85-90 
#Pages
Date of Issue 2022-11-08 (RCS) 


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