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Paper Abstract and Keywords
Presentation 2026-01-30 11:35
Implementation of an Energy-Efficient Method for Bluetooth Low Energy Using Multi-Armed Bandits and Investigation on Its Selection Parameters
Yuichiro Mitsui, Reona Nomura (Tokyo Univ. of Science), Hiroyuki Yasuda (The Univ. of Tokyo), Ryosuke Isogai, Yoshifumi Yoshida (Seiko Future Creation), Jin Nakazato (Tokyo Univ. of Science), Maki Arai (Shibaura Institute of Technology), Mikio Hasegawa (Tokyo Univ. of Science) NLP2025-120 MBE2025-60 NC2025-82
Abstract (in Japanese) (See Japanese page) 
(in English) With the widespread adoption of IoT, Bluetooth has been integrated into numerous devices, and Bluetooth Low Energy (BLE) was introduced to achieve low power consumption. Many BLE-equipped devices are small and battery-powered, requiring long operating times, which further emphasizes the need for energy efficiency. Previous studies applied multi-armed bandit methods to control advertising intervals and employ channel masking, achieving power-efficient communication while maintaining reliability. However, using all combinations of advertising intervals and channel selections as arms resulted in many options, causing prolonged exploration and delaying the selection of the optimal arm. During this period, communication reliability may decline and additional power may be consumed. To address this, we propose treating advertising intervals and channel selections as separate arms, which reduced learning convergence time by up to 85% compared to previous methods.
Keyword (in Japanese) (See Japanese page) 
(in English) Bluetooth Low Energy / Multi-Armed Bandit / Channel Selection / Low-Power-Consumption Protocol / Reinforcement Learning / / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 344, NLP2025-120, pp. 164-169, Jan. 2026.
Paper # NLP2025-120 
Date of Issue 2026-01-21 (NLP, MBE, NC) 
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 NLP2025-120 MBE2025-60 NC2025-82

Conference Information
Committee NC MBE NLP IEE-MBE  
Conference Date 2026-01-28 - 2026-01-30 
Place (in Japanese) (See Japanese page) 
Place (in English) Kyushu Institute of Technology, Wakamatsu Campus 
Topics (in Japanese) (See Japanese page) 
Topics (in English) NC, NLP, ME, etc. 
Paper Information
Registration To NLP 
Conference Code 2026-01-NC-MBE-NLP-MBE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Implementation of an Energy-Efficient Method for Bluetooth Low Energy Using Multi-Armed Bandits and Investigation on Its Selection Parameters 
Sub Title (in English)  
Keyword(1) Bluetooth Low Energy  
Keyword(2) Multi-Armed Bandit  
Keyword(3) Channel Selection  
Keyword(4) Low-Power-Consumption Protocol  
Keyword(5) Reinforcement Learning  
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Keyword(7)  
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1st Author's Name Yuichiro Mitsui  
1st Author's Affiliation Tokyo University of Science (Tokyo Univ. of Science)
2nd Author's Name Reona Nomura  
2nd Author's Affiliation Tokyo University of Science (Tokyo Univ. of Science)
3rd Author's Name Hiroyuki Yasuda  
3rd Author's Affiliation The University of Tokyo (The Univ. of Tokyo)
4th Author's Name Ryosuke Isogai  
4th Author's Affiliation Seiko Future Creation Inc. (Seiko Future Creation)
5th Author's Name Yoshifumi Yoshida  
5th Author's Affiliation Seiko Future Creation Inc. (Seiko Future Creation)
6th Author's Name Jin Nakazato  
6th Author's Affiliation Tokyo University of Science (Tokyo Univ. of Science)
7th Author's Name Maki Arai  
7th Author's Affiliation Shibaura Institute of Technology (Shibaura Institute of Technology)
8th Author's Name Mikio Hasegawa  
8th Author's Affiliation Tokyo University of Science (Tokyo Univ. of Science)
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Speaker Author-1 
Date Time 2026-01-30 11:35:00 
Presentation Time 25 minutes 
Registration for NLP 
Paper # NLP2025-120, MBE2025-60, NC2025-82 
Volume (vol) vol.125 
Number (no) no.344(NLP), no.345(MBE), no.346(NC) 
Page pp.164-169 
#Pages 6 
Date of Issue 2026-01-21 (NLP, MBE, NC) 

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