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Paper Abstract and Keywords
Presentation 2017-12-15 14:05
Efficient updates scheduling Method Using Genetic Algorithms in Wireless Sensor Networks
Satoshi Ito (Tokyo City Univ.), Hiromu Asahina (Keio Univ.), Akihide Utani (Tokyo City Univ.) RCS2017-265
Abstract (in Japanese) (See Japanese page) 
(in English) With the rapid growth of IoT devices, malware targeting these devices have rapidly increased.
In order to protect the device from such a attack, it is important to maintain the freshness of the software on a IoT device by disseminating an update code.
Since, the sensor can not perform sensing and forwarding during the dissemination and installation of the update code, it is challenging to update the all sensors while keeping the data collection ratio in the sensing task.
In this paper, we propose efficient updates scheduling method using genetic algorithm (GA).
We also propose an improvement of GA suitable for the update scheduling.
Keyword (in Japanese) (See Japanese page) 
(in English) wireless sensor network / update scheduling / Genetic Algorithm / / / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 352, RCS2017-265, pp. 83-88, Dec. 2017.
Paper # RCS2017-265 
Date of Issue 2017-12-07 (RCS) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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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 RCS2017-265

Conference Information
Committee RCS NS  
Conference Date 2017-12-14 - 2017-12-15 
Place (in Japanese) (See Japanese page) 
Place (in English) Aster Plaza 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Mobile Ad-hoc Network, Ubiquitous Network, Wireless Communication, security, Multi-Access Network 
Paper Information
Registration To RCS 
Conference Code 2017-12-RCS-NS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Efficient updates scheduling Method Using Genetic Algorithms in Wireless Sensor Networks 
Sub Title (in English)  
Keyword(1) wireless sensor network  
Keyword(2) update scheduling  
Keyword(3) Genetic Algorithm  
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1st Author's Name Satoshi Ito  
1st Author's Affiliation Tokyo City University (Tokyo City Univ.)
2nd Author's Name Hiromu Asahina  
2nd Author's Affiliation Keio University (Keio Univ.)
3rd Author's Name Akihide Utani  
3rd Author's Affiliation Tokyo City University (Tokyo City Univ.)
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Speaker Author-1 
Date Time 2017-12-15 14:05:00 
Presentation Time 25 minutes 
Registration for RCS 
Paper # RCS2017-265 
Volume (vol) vol.117 
Number (no) no.352 
Page pp.83-88 
#Pages
Date of Issue 2017-12-07 (RCS) 


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