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 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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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) |
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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 |
6 |
Date of Issue |
2020-09-03 (NS) |
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