| Presentation | 2020-12-17 Processing allocation algorithm for distributed deep learning in wireless sensor networks Karin Umeda, Takashi Nishitsuji, Takuya Asaka, Takumi Miyoshi, |
|---|---|
| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In wireless sensor networks, distributed processing technology for deep learning that utilizes edge computing and mobile terminals has been attracting interest. However, although the existing methods improve the data processing speed, there is a problem in which the amount of communication and the load on the server increase. Therefore, in this research, we propose a distributed processing method and processing allocation algorithm that allocates the intermediate layer of deep learning to sensor nodes. In addition, an example of processing allocation using the computational complexity of an actual deep learning model is shown to verify the effectiveness of the proposed method. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Wireless Sensor Network / Deep Learning / Load Distribution / Distributed Processing |
| Paper # | NS2020-90 |
| Date of Issue | 2020-12-10 (NS) |
| Conference Information | |
| Committee | NS / RCS |
|---|---|
| Conference Date | 2020/12/17(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Multi-hop/Relay/Cooperation, Disaster-resistant wireless network, Sensor/Mesh network, Ad-hoc network, D2D/M2M, Wireless network coding, Handover/AP switching/Connected cell control/Load balancing among base stations/Mobile network dynamic reconfiguration, QoS/QoE assurance, Wireless VoIP, IoT, Edge computing, etc. |
| Chair | Akihiro Nakao(Univ. of Tokyo) / Eiji Okamoto(Nagoya Inst. of Tech.) |
| Vice Chair | Tetsuya Oishi(NTT) / Fumiaki Maehara(Waseda Univ.) / Toshihiko Nishimura(Hokkaido Univ.) / Tomoya Tandai(Toshiba) |
| Secretary | Tetsuya Oishi(NTT) / Fumiaki Maehara(Chuo Univ.) / Toshihiko Nishimura(Kyushu Univ.) / Tomoya Tandai(NEC) |
| Assistant | Shinya Kawano(NTT) / Koichi Adachi(Univ. of Electro-Comm.) / Osamu Nakamura(Sharp) / Manabu Sakai(Mitsubishi Electric) / Masashi Iwabuchi(NTT) / Tatsuki Okuyama(NTT DOCOMO) |
| Paper Information | |
| Registration To | Technical Committee on Network Systems / Technical Committee on Radio Communication Systems |
|---|---|
| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Processing allocation algorithm for distributed deep learning in wireless sensor networks |
| Sub Title (in English) | |
| Keyword(1) | Wireless Sensor Network |
| Keyword(2) | Deep Learning |
| Keyword(3) | Load Distribution |
| Keyword(4) | Distributed Processing |
| 1st Author's Name | Karin Umeda |
| 1st Author's Affiliation | Tokyo Metropolitan University(Tokyo Metropolitan Univ.) |
| 2nd Author's Name | Takashi Nishitsuji |
| 2nd Author's Affiliation | Tokyo Metropolitan University(Tokyo Metropolitan Univ.) |
| 3rd Author's Name | Takuya Asaka |
| 3rd Author's Affiliation | Tokyo Metropolitan University(Tokyo Metropolitan Univ.) |
| 4th Author's Name | Takumi Miyoshi |
| 4th Author's Affiliation | Shibaura Institute of Technology(Shibaura Inst. of Tech.) |
| Date | 2020-12-17 |
| Paper # | NS2020-90 |
| Volume (vol) | vol.120 |
| Number (no) | NS-297 |
| Page | pp.pp.17-22(NS), |
| #Pages | 6 |
| Date of Issue | 2020-12-10 (NS) |