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Paper Abstract and Keywords
Presentation 2009-07-13 15:40
Solving Sink Node Allocation Problems for Long-term Operation of Wireless Sensor Networks Using Suppression PSO
Masaki Yoshimura, Hidehiro Nakano, Akihide Utani, Arata Miyauchi, Hisao Yamamoto (Tokyo City Univ.) NLP2009-26 NC2009-19
Abstract (in Japanese) (See Japanese page) 
(in English) To realize long-term operation of WSNs, we discuss in this study a method of suppressing the communication load on sensor nodes by effectively placing a limited number of sink nodes which gather data from sensor nodes. As a technique of solving effective locations for sink nodes, this paper proposes a new search method based on Particle Swarm Optimization that is one of the swarm intelligence algorithms, named the Suppression Particle Swarm Optimization (SPSO). The proposed method can find plural candidates for allocations of sink nodes effectively. Also, long-term operation of WSNs can be realized by swiching their allocations dynamically. Performing numerical simulations, we confirm effectiveness of the proposed method.
Keyword (in Japanese) (See Japanese page) 
(in English) Wireless Sensor Networks / Sink Node / Particle Swarm Optimization / / / / /  
Reference Info. IEICE Tech. Rep., vol. 109, no. 124, NLP2009-26, pp. 67-71, July 2009.
Paper # NLP2009-26 
Date of Issue 2009-07-06 (NLP, NC) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
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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 NLP2009-26 NC2009-19

Conference Information
Committee NC NLP  
Conference Date 2009-07-13 - 2009-07-14 
Place (in Japanese) (See Japanese page) 
Place (in English) NAIST 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To NLP 
Conference Code 2009-07-NC-NLP 
Language English (Japanese title is available) 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Solving Sink Node Allocation Problems for Long-term Operation of Wireless Sensor Networks Using Suppression PSO 
Sub Title (in English)  
Keyword(1) Wireless Sensor Networks  
Keyword(2) Sink Node  
Keyword(3) Particle Swarm Optimization  
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1st Author's Name Masaki Yoshimura  
1st Author's Affiliation Tokyo City University (Tokyo City Univ.)
2nd Author's Name Hidehiro Nakano  
2nd Author's Affiliation Tokyo City University (Tokyo City Univ.)
3rd Author's Name Akihide Utani  
3rd Author's Affiliation Tokyo City University (Tokyo City Univ.)
4th Author's Name Arata Miyauchi  
4th Author's Affiliation Tokyo City University (Tokyo City Univ.)
5th Author's Name Hisao Yamamoto  
5th Author's Affiliation Tokyo City University (Tokyo City Univ.)
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Speaker Author-1 
Date Time 2009-07-13 15:40:00 
Presentation Time 30 minutes 
Registration for NLP 
Paper # NLP2009-26, NC2009-19 
Volume (vol) vol.109 
Number (no) no.124(NLP), no.125(NC) 
Page pp.67-71 
#Pages
Date of Issue 2009-07-06 (NLP, NC) 


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