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Paper Abstract and Keywords
Presentation 2022-01-24 16:20
Channel Selection of Environment-Adaptive Sensor Networks Using Channel Occupancy Rate
Taiki Matsushima, Takeo Fujii (UEC) SR2021-65
Abstract (in Japanese) (See Japanese page) 
(in English) In Wireless Sensor Networks (WSNs), it is possible to transmit packets efficiently by implementing an autonomous distributed channel selection method in which a Sensor Node (SN) selects the channel to be used by itself. In addition, autonomous distributed channel selection is modeled as a Multi-Armed Bandit (MAB) problem, and execution of channel selection based on Tug-of-War (TOW) dynamics can achieve highly efficient learning with low computational complexity. On the other hand, channel selection based on TOW dynamics determines the reward only based on whether an Acknowledgement (ACK) frame is received, which means that the reward is determined without considering the environment surrounding the SN. In this paper, we propose an algorithm that determines the reward using the channel occupancy rate and existence of hidden terminals in addition to whether an ACK frame is received. The proposed algorithm calculates the most recent channel occupancy rate to determine the reward. Then, the reward is changed according to the calculated channel occupancy rate and the presence of hidden terminals. Simulation results show that the proposed method can adapt to rapidly changing environment and select the best channel compared to the method that determines the reward based only on whether an ACK frame is received.
Keyword (in Japanese) (See Japanese page) 
(in English) Wireless Sensor Networks / Channel Selection / Multi-Armed Bandit Problem / / / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 345, SR2021-65, pp. 31-36, Jan. 2022.
Paper # SR2021-65 
Date of Issue 2022-01-17 (SR) 
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)
Download PDF SR2021-65

Conference Information
Committee SR  
Conference Date 2022-01-24 - 2022-01-25 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SR 
Conference Code 2022-01-SR 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Channel Selection of Environment-Adaptive Sensor Networks Using Channel Occupancy Rate 
Sub Title (in English)  
Keyword(1) Wireless Sensor Networks  
Keyword(2) Channel Selection  
Keyword(3) Multi-Armed Bandit Problem  
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1st Author's Name Taiki Matsushima  
1st Author's Affiliation The University of Electro-Communications (UEC)
2nd Author's Name Takeo Fujii  
2nd Author's Affiliation The University of Electro-Communications (UEC)
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Speaker Author-1 
Date Time 2022-01-24 16:20:00 
Presentation Time 25 minutes 
Registration for SR 
Paper # SR2021-65 
Volume (vol) vol.121 
Number (no) no.345 
Page pp.31-36 
#Pages 6 
Date of Issue 2022-01-17 (SR) 

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