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Paper Abstract and Keywords
Presentation 2020-08-04 10:00
[Invited Talk] Reinforcement Learning Based Channel Selection Algorithm for IoT Devices and Its Application to Wireless Sensor Network for Building Monitoring System
So Hasegawa (NICT), Ryoma Kitagawa, Takumi Ito, Takashi Nakajima (TUS), Song-Ju Kim (KU), Yoshito Watanabe, Yozo Shoji (NICT), Mikio Hasegawa (TUS) CCS2020-13
Abstract (in Japanese) (See Japanese page) 
(in English) The IoT wave have spread and the number of IoT devices have rapidly increased.
In IoT system using numerous IoT devices which generate enormous traffic, it is considered effective to introduce a multi-channel selection function to avoid communication congestion.
We have proposed a channel selection algorithm based reinforcement learning for IoT devices with limited computational resource.
Furthermore, We have confirmed IoT devices implemented proposed method learn the surrounding communication environment and select optimal channel by experiments.
In this paper, we describe the requirements for dynamic channel selection technology in IoT networks constructed with fixed or mobile devices, and explain the demonstration experiment of building monitoring using the devices implemented our proposed scheme.
Keyword (in Japanese) (See Japanese page) 
(in English) Machine Learning / Reinforcement Learning / Multi-Armed Bandit / IoT / Distributed Channel Selection / Building Monitoring System / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 124, CCS2020-13, pp. 5-10, Aug. 2020.
Paper # CCS2020-13 
Date of Issue 2020-07-27 (CCS) 
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)
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Conference Information
Committee IN CCS  
Conference Date 2020-08-03 - 2020-08-04 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Network Science, Future Network, Cloud/SDN/Virtualization, Contents Delivery/Contents Exchange, and others 
Paper Information
Registration To CCS 
Conference Code 2020-08-IN-CCS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Reinforcement Learning Based Channel Selection Algorithm for IoT Devices and Its Application to Wireless Sensor Network for Building Monitoring System 
Sub Title (in English)  
Keyword(1) Machine Learning  
Keyword(2) Reinforcement Learning  
Keyword(3) Multi-Armed Bandit  
Keyword(4) IoT  
Keyword(5) Distributed Channel Selection  
Keyword(6) Building Monitoring System  
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Keyword(8)  
1st Author's Name So Hasegawa  
1st Author's Affiliation National Institute of Information and Communications Technology (NICT)
2nd Author's Name Ryoma Kitagawa  
2nd Author's Affiliation Tokyo Univesity of Science (TUS)
3rd Author's Name Takumi Ito  
3rd Author's Affiliation Tokyo Univesity of Science (TUS)
4th Author's Name Takashi Nakajima  
4th Author's Affiliation Tokyo Univesity of Science (TUS)
5th Author's Name Song-Ju Kim  
5th Author's Affiliation Keio University (KU)
6th Author's Name Yoshito Watanabe  
6th Author's Affiliation National Institute of Information and Communications Technology (NICT)
7th Author's Name Yozo Shoji  
7th Author's Affiliation National Institute of Information and Communications Technology (NICT)
8th Author's Name Mikio Hasegawa  
8th Author's Affiliation Tokyo Univesity of Science (TUS)
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Speaker Author-1 
Date Time 2020-08-04 10:00:00 
Presentation Time 50 minutes 
Registration for CCS 
Paper # CCS2020-13 
Volume (vol) vol.120 
Number (no) no.124 
Page pp.5-10 
#Pages
Date of Issue 2020-07-27 (CCS) 


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