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Paper Abstract and Keywords
Presentation 2016-07-22 10:50
Experimental Evaluation on Indoor Localization by Means of Compressed Sensing-Based Wireless Tomography
Kengo Yokota, Shinsuke Hara (Osaka City Univ.), Takahiro Matsuda (Osaka Univ.), Kenichi Takizawa, Fumie Ono, Ryu Miura (NICT) RCC2016-32
Abstract (in Japanese) (See Japanese page) 
(in English) When a disaster happens, to search for survivors, rescue workers need to get into the burning and collapsing building.
To prevent the secondary disaster, it is essential to localize them, however, even if anchor nodes can receive the wireless
signals from a target node located somewhere in the building, received signal strength (RSS)-based localization has a great
difficulty. It is because the RSS attenuates due to not only distance but also obstacles such as walls and doors, which depends
on the internal architectural structure. In this paper, we propose an RSS-based localization method using unmanned aerial
vehicles(UAVs). By transceiving wireless signals among UAVs flying outdoors around a building, they first estimate the attenuation
distribution which is called “the attenuation map” by means of compressed sensing-based wireless tomography. Then,
the UAVs localize a target node using the RSS transmitted from it according to the estimated attenuation map. We evaluate the
performance of the joint attenuation map estimation/localization method by an experiment conducted in an anechoic chamber.
Key words localization, received signal strength, wireless tomography, attenuation map, compressed sensing.
Keyword (in Japanese) (See Japanese page) 
(in English) localization / received signal strength / wireless tomography / attenuation map / compressed sensing / / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 145, RCC2016-32, pp. 97-102, July 2016.
Paper # RCC2016-32 
Date of Issue 2016-07-13 (RCC) 
ISSN Print edition: ISSN 0913-5685    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 RCC2016-32

Conference Information
Committee RCS RCC ASN NS SR  
Conference Date 2016-07-20 - 2016-07-22 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English) Wireless Distributed Network, M2M: Machine-to-Machine, D2D (Device-to-Device)，etc. 
Paper Information
Registration To RCC 
Conference Code 2016-07-RCS-RCC-ASN-NS-SR 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Experimental Evaluation on Indoor Localization by Means of Compressed Sensing-Based Wireless Tomography 
Sub Title (in English)  
Keyword(1) localization  
Keyword(2) received signal strength  
Keyword(3) wireless tomography  
Keyword(4) attenuation map  
Keyword(5) compressed sensing  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Kengo Yokota  
1st Author's Affiliation Osaka City University (Osaka City Univ.)
2nd Author's Name Shinsuke Hara  
2nd Author's Affiliation Osaka City University (Osaka City Univ.)
3rd Author's Name Takahiro Matsuda  
3rd Author's Affiliation Osaka University (Osaka Univ.)
4th Author's Name Kenichi Takizawa  
4th Author's Affiliation National Institute of Information and Communications Technology (NICT)
5th Author's Name Fumie Ono  
5th Author's Affiliation National Institute of Information and Communications Technology (NICT)
6th Author's Name Ryu Miura  
6th Author's Affiliation National Institute of Information and Communications Technology (NICT)
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Speaker Author-1 
Date Time 2016-07-22 10:50:00 
Presentation Time 25 minutes 
Registration for RCC 
Paper # RCC2016-32 
Volume (vol) vol.116 
Number (no) no.145 
Page pp.97-102 
#Pages 6 
Date of Issue 2016-07-13 (RCC) 

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