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Paper Abstract and Keywords
Presentation 2020-09-11 15:10
A Routing method using machine learning for wireless multi-hop networks
Yuki Tanaka, Hiroyuki Suzuki, Akio Koyama (Yamagata Univ.) NS2020-50
Abstract (in Japanese) (See Japanese page) 
(in English) Researches of wireless multi-hop networks are making actively as attempting to spreading the usage range of wireless networks. In a wireless multi-hop network like wireless mesh networks, sensor networks, and ad-hoc networks, terminals and APs (Access Points) are wirelessly connected to each other to provide mobility and wide communication area. A routing method is important because terminals and APs have different processing abilities and wireless environments. In particular, concentration of load and dealing with various network environments are issues to be solved. In this paper, we propose a routing method that uses the reinforcement learning which is a kind of the machine learning to suppress the use of load-intensive routes and achieves adaptation to various network environments. As a result of performance evaluation by simulation, it is shown that the communication performance is improved compared with a conventional method.
Keyword (in Japanese) (See Japanese page) 
(in English) Wireless Multi-Hop Networks / Routing Protocol / Machine Learning / Reinforcement Learning / Route Reconstruction / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 162, NS2020-50, pp. 51-56, Sept. 2020.
Paper # NS2020-50 
Date of Issue 2020-09-03 (NS) 
ISSN 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 NS2020-50

Conference Information
Committee CS IN NS NV  
Conference Date 2020-09-10 - 2020-09-11 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Session management (SIP/IMS), Interoperability/Standardization, NGN/NwGN/Future networks, Cloud/Data center networks, SDN (OpenFlow, etc.)/NFV, IPv6, Machine learning, etc. 
Paper Information
Registration To NS 
Conference Code 2020-09-CS-IN-NS-NV 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Routing method using machine learning for wireless multi-hop networks 
Sub Title (in English)  
Keyword(1) Wireless Multi-Hop Networks  
Keyword(2) Routing Protocol  
Keyword(3) Machine Learning  
Keyword(4) Reinforcement Learning  
Keyword(5) Route Reconstruction  
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1st Author's Name Yuki Tanaka  
1st Author's Affiliation Yamagata University (Yamagata Univ.)
2nd Author's Name Hiroyuki Suzuki  
2nd Author's Affiliation Yamagata University (Yamagata Univ.)
3rd Author's Name Akio Koyama  
3rd Author's Affiliation Yamagata University (Yamagata Univ.)
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Speaker Author-1 
Date Time 2020-09-11 15:10:00 
Presentation Time 25 minutes 
Registration for NS 
Paper # NS2020-50 
Volume (vol) vol.120 
Number (no) no.162 
Page pp.51-56 
#Pages
Date of Issue 2020-09-03 (NS) 


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