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Paper Abstract and Keywords
Presentation 2019-10-17 11:40
Evaluation of Wireless Communication Performance Using Q-Learning in Wireless Mesh Network
Takuya Kobayashi, Kentaro Sawa, Takenori Sumi, Kei Ota, Takahisa Yamauchi (Mitsubishi Electric Co.) ICTSSL2019-20 IN2019-34
Abstract (in Japanese) (See Japanese page) 
(in English) In the factory monitoring systems and smart meter, the application of wireless mesh network advances to realize no wiring and wide area. In wireless mesh network, a slave unit selects an appropriate communication path according to the communication environment, and communicates with a master unit by multi-hop. Therefore, it is suitable for the system which accommodates many terminals in a wide area. The determination of the communication route is performed autonomously based on the signal strength of the radio wave received from each peripheral handset, but the communication quality also depends on the installation location, interval, and number of radios installed. Also, in the event of a disaster, it is assumed that a valid route cannot be selected due to changes in the surrounding environment or radio equipment failures. Therefore, route selection parameters such as received signal strength thresholds that are set in advance may not be suitable for the installation environment. In this paper, we propose a method of applying reinforcement learning to the determination method of communication quality measurement parameter of route selection method in wireless mesh network, and aim at automatic determination of parameter suitable for installation environment of wireless device and improvement of communication performance. We also show that the communication performance of the wireless device after parameter learning is improved by computer simulation.
Keyword (in Japanese) (See Japanese page) 
(in English) Wireless Mesh Network / Reinforcement Learning / Routing / / / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 226, ICTSSL2019-20, pp. 23-28, Oct. 2019.
Paper # ICTSSL2019-20 
Date of Issue 2019-10-10 (ICTSSL, IN) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
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 ICTSSL IN  
Conference Date 2019-10-17 - 2019-10-18 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
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Paper Information
Registration To ICTSSL 
Conference Code 2019-10-ICTSSL-IN 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Evaluation of Wireless Communication Performance Using Q-Learning in Wireless Mesh Network 
Sub Title (in English)  
Keyword(1) Wireless Mesh Network  
Keyword(2) Reinforcement Learning  
Keyword(3) Routing  
1st Author's Name Takuya Kobayashi  
1st Author's Affiliation Mitsubishi Electric Corporation (Mitsubishi Electric Co.)
2nd Author's Name Kentaro Sawa  
2nd Author's Affiliation Mitsubishi Electric Corporation (Mitsubishi Electric Co.)
3rd Author's Name Takenori Sumi  
3rd Author's Affiliation Mitsubishi Electric Corporation (Mitsubishi Electric Co.)
4th Author's Name Kei Ota  
4th Author's Affiliation Mitsubishi Electric Corporation (Mitsubishi Electric Co.)
5th Author's Name Takahisa Yamauchi  
5th Author's Affiliation Mitsubishi Electric Corporation (Mitsubishi Electric Co.)
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Speaker Author-1 
Date Time 2019-10-17 11:40:00 
Presentation Time 25 minutes 
Registration for ICTSSL 
Paper # ICTSSL2019-20, IN2019-34 
Volume (vol) vol.119 
Number (no) no.226(ICTSSL), no.227(IN) 
Page pp.23-28 
Date of Issue 2019-10-10 (ICTSSL, IN) 

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