Presentation 2020-12-17
Processing allocation algorithm for distributed deep learning in wireless sensor networks
Karin Umeda, Takashi Nishitsuji, Takuya Asaka, Takumi Miyoshi,
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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)