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Paper Abstract and Keywords
Presentation 2014-03-07 09:55
Evaluating a sequential 3D node localization method based on node-to-node distance information
Shohei Ukawa, Ryuya Shinada, Yuichi Itoh, Masanori Hashimoto, Takao Onoye (Osaka Univ) CAS2013-124 SIP2013-170 CS2013-137
Abstract (in Japanese) (See Japanese page) 
(in English) We are studying a 3D modeling system using a sensor network that distributes many tiny sensor nodes in a flexible object like clay. This system estimates three dimensional relative positions of sensor nodes from node–to-node distance information and recognizes the object shape. This node localization is difficult since measured node-to-node distance information includes large measurement error and many nodes need to be localized. This paper applies a sequential localization method taking into account localization ambiguity to the 3D modeling system, and evaluates the localization accuracy. Supposing the distance error model of proximity distance estimation with capacitive coupling, we investigate which is more appropriate for node localization, multilateration or maximum likelihood estimation.
Keyword (in Japanese) (See Japanese page) 
(in English) 3D Localization / Multilateration / Maximum Likelihood Estimation / Sensor Network / / / /  
Reference Info. IEICE Tech. Rep., vol. 113, no. 463, CAS2013-124, pp. 199-204, March 2014.
Paper # CAS2013-124 
Date of Issue 2014-02-27 (CAS, SIP, CS) 
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. (No. 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Notes on Review This article is a technical report without peer review, and its polished version will be published elsewhere.
Download PDF CAS2013-124 SIP2013-170 CS2013-137

Conference Information
Committee CS CAS SIP  
Conference Date 2014-03-06 - 2014-03-07 
Place (in Japanese) (See Japanese page) 
Place (in English) Osaka City University Media Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Network Processor, Signal Processing for Communication, Wireless LAN/PAN, etc. 
Paper Information
Registration To CAS 
Conference Code 2014-03-CS-CAS-SIP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Evaluating a sequential 3D node localization method based on node-to-node distance information 
Sub Title (in English)  
Keyword(1) 3D Localization  
Keyword(2) Multilateration  
Keyword(3) Maximum Likelihood Estimation  
Keyword(4) Sensor Network  
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1st Author's Name Shohei Ukawa  
1st Author's Affiliation Osaka University (Osaka Univ)
2nd Author's Name Ryuya Shinada  
2nd Author's Affiliation Osaka University (Osaka Univ)
3rd Author's Name Yuichi Itoh  
3rd Author's Affiliation Osaka University (Osaka Univ)
4th Author's Name Masanori Hashimoto  
4th Author's Affiliation Osaka University (Osaka Univ)
5th Author's Name Takao Onoye  
5th Author's Affiliation Osaka University (Osaka Univ)
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Speaker
Date Time 2014-03-07 09:55:00 
Presentation Time 25 
Registration for CAS 
Paper # IEICE-CAS2013-124,IEICE-SIP2013-170,IEICE-CS2013-137 
Volume (vol) IEICE-113 
Number (no) no.463(CAS), no.464(SIP), no.465(CS) 
Page pp.199-204 
#Pages IEICE-6 
Date of Issue IEICE-CAS-2014-02-27,IEICE-SIP-2014-02-27,IEICE-CS-2014-02-27 


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