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| Paper Abstract and Keywords | ||
| Presentation | 2022-08-04 14:20 A Study of Low Power BLE Advertising Method Based on Reinforcement Learning Hiroyuki Yasuda (The Univ. of Tokyo), Minoru Fujisawa (Tokyo Univ. of Science), Ryosuke Isogai, Yoshifumi Yoshida (SEIKO HOLDINGS Corp.), Song-Ju Kim (Tokyo Univ. of Science), Yozo Shoji (NICT), Kazuyuki Aihara (The Univ. of Tokyo), Mikio Hasegawa (Tokyo Univ. of Science)  CCS2022-33 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Bluetooth Low Energy (BLE) has been applied to various IoT services because of its versatility and energy efficiency. In BLE advertising, BLE devices continuously broadcast their information using up to three channels, and power saving can be achieved by efficiently reducing the number of channels and transmissions. In this paper, we propose a reinforcement learning method for autonomously determining the efficient number of channels and intervals, and evaluate the method through simulations. The proposed method can reduce up to 55.2% of power consumption by reducing the number of channels and transmissions without significant loss of reliability in environments with low interference, and can achieve over 99% advertising success rate by autonomously increasing the number of channels in environments with high interference. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Reinforcement learning / Bluetooth Low Energy / IoT / BLE advertising / Multi-armed bandit problem / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 122, no. 145, CCS2022-33, pp. 35-40, Aug. 2022. | |
| Paper # | CCS2022-33 | |
| Date of Issue | 2022-07-28 (CCS) | |
| 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 | CCS2022-33 |
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| Conference Information | |
| Committee | IN CCS |
| Conference Date | 2022-08-04 - 2022-08-05 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Hokkaido University(Centennial Hall) |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Network Science, Future Network, Cloud/SDN/Virtualization, Contents Delivery/Contents Exchange, and others |
| Paper Information | |
| Registration To | CCS |
| Conference Code | 2022-08-IN-CCS |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Study of Low Power BLE Advertising Method Based on Reinforcement Learning |
| Sub Title (in English) | |
| Keyword(1) | Reinforcement learning |
| Keyword(2) | Bluetooth Low Energy |
| Keyword(3) | IoT |
| Keyword(4) | BLE advertising |
| Keyword(5) | Multi-armed bandit problem |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Hiroyuki Yasuda |
| 1st Author's Affiliation | The University of Tokyo (The Univ. of Tokyo) |
| 2nd Author's Name | Minoru Fujisawa |
| 2nd Author's Affiliation | Tokyo University of Science (Tokyo Univ. of Science) |
| 3rd Author's Name | Ryosuke Isogai |
| 3rd Author's Affiliation | SEIKO HOLDINGS CORPORATION (SEIKO HOLDINGS Corp.) |
| 4th Author's Name | Yoshifumi Yoshida |
| 4th Author's Affiliation | SEIKO HOLDINGS CORPORATION (SEIKO HOLDINGS Corp.) |
| 5th Author's Name | Song-Ju Kim |
| 5th Author's Affiliation | Tokyo University of Science (Tokyo Univ. of Science) |
| 6th Author's Name | Yozo Shoji |
| 6th Author's Affiliation | National Institute of Information and Communications Technology (NICT) |
| 7th Author's Name | Kazuyuki Aihara |
| 7th Author's Affiliation | The University of Tokyo (The Univ. of Tokyo) |
| 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 | 2022-08-04 14:20:00 |
| Presentation Time | 20 minutes |
| Registration for | CCS |
| Paper # | CCS2022-33 |
| Volume (vol) | vol.122 |
| Number (no) | no.145 |
| Page | pp.35-40 |
| #Pages | 6 |
| Date of Issue | 2022-07-28 (CCS) |
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