| Presentation | 2022-03-02 Reducing Power Consumption of BLE Advertising Based on Reinforcement Learning Ryoma Kitagawa, Ryosuke Isogai, Hiroyuki Yasuda, Yoshifumi Yoshida, Song-Ju Kim, Mikio Hasegawa, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Bluetooth Low Energy (BLE) is a short-range wireless communication characterized by low power consumption and has been applied to a variety of applications, mainly as a beacon. The BLE device periodically broadcasts packets to indicate its presence and sends such advertising packets via three advertising channels. However, previous studies have shown the possibility of further reducing power consumption by efficiently reducing the number of advertising channels (channel mask) and adjusting the interval between advertising packets. In this paper, we evaluate our proposed reinforcement learning method for efficient selection of the channel mask and advertising interval from the viewpoint of power consumption by simulations of BLE advertisement in various environments. The results show that the proposed method can achieve low power consumption without a significant loss of reliability. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Machine Learning / Reinforcement Learning / Bluetooth Low Energy / IoT / BLE Advertise |
| Paper # | SRW2021-65 |
| Date of Issue | 2022-02-23 (SRW) |
| Conference Information | |
| Committee | RCS / SR / SRW |
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| Conference Date | 2022/3/2(3days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Mobile Communication Workshop |
| Chair | Eiji Okamoto(Nagoya Inst. of Tech.) / Suguru Kameda(Hiroshima Univ.) / Hanako Noda(Anritsu) |
| Vice Chair | Toshihiko Nishimura(Hokkaido Univ.) / Tomoya Tandai(Toshiba) / Fumihide Kojima(NICT) / Osamu Takyu(Shinshu Univ.) / Kentaro Ishidu(NICT) / Kazuto Yano(ATR) / Keiichi Mizutani(Kyoto Univ.) / Kentaro Saito(Tokyo Denki Univ.) / Hirokazu Sawada(NICT) |
| Secretary | Toshihiko Nishimura(NEC) / Tomoya Tandai(Panasonic) / Fumihide Kojima(Mie Univ.) / Osamu Takyu(Tokai Univ.) / Kentaro Ishidu(NTT) / Kazuto Yano(NTT) / Keiichi Mizutani(NIigata Univ.) / Kentaro Saito / Hirokazu Sawada |
| Assistant | Koichi Adachi(Univ. of Electro-Comm.) / Osamu Nakamura(Sharp) / Manabu Sakai(Mitsubishi Electric) / Masashi Iwabuchi(NTT) / Tatsuki Okuyama(NTT DOCOMO) / Mai Ohta(Fukuoka Univ.) / Taichi Ohtsuji(NEC) / WANG Xiaoyan(Ibaraki Univ.) / Akemi Tanaka(MathWorks) / Akihito Noda(Nanzan Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Radio Communication Systems / Technical Committee on Smart Radio / Technical Committee on Short Range Wireless Communications |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Reducing Power Consumption of BLE Advertising Based on Reinforcement Learning |
| Sub Title (in English) | |
| Keyword(1) | Machine Learning |
| Keyword(2) | Reinforcement Learning |
| Keyword(3) | Bluetooth Low Energy |
| Keyword(4) | IoT |
| Keyword(5) | BLE Advertise |
| 1st Author's Name | Ryoma Kitagawa |
| 1st Author's Affiliation | Tokyo University of Science(Tokyo Univ. of Science) |
| 2nd Author's Name | Ryosuke Isogai |
| 2nd Author's Affiliation | Seico Holdings(Seico) |
| 3rd Author's Name | Hiroyuki Yasuda |
| 3rd Author's Affiliation | Tokyo University(Tokyo Univ.) |
| 4th Author's Name | Yoshifumi Yoshida |
| 4th Author's Affiliation | Seico Holdings(Seico) |
| 5th Author's Name | Song-Ju Kim |
| 5th Author's Affiliation | Tokyo University of Science(Tokyo Univ. of Science) |
| 6th Author's Name | Mikio Hasegawa |
| 6th Author's Affiliation | Tokyo University of Science(Tokyo Univ. of Science) |
| Date | 2022-03-02 |
| Paper # | SRW2021-65 |
| Volume (vol) | vol.121 |
| Number (no) | SRW-393 |
| Page | pp.pp.1-6(SRW), |
| #Pages | 6 |
| Date of Issue | 2022-02-23 (SRW) |