Presentation 2019-08-01
Performance Evaluation of Machine Learning Based Channel Selection Algorithm Implemented on IoT Sensor Devices
So Hasegawa, Ma Jing, Ryoma Kitagawa, Song-Ju Kim, Yoshito Watanabe, Liu Wei, Yozo Shoji, Mikio Hasegawa,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) The number of IoT devices have been dramatically increased. Numerous IoT devices generate enormous traffic, which causes network congestions and packet losses. To manage network congestions, Ma et al. have proposed a channel selection algorithm based machine learning for IoT devices. They modeled channel selection as Multi-Armed Bandit problem and have solved it by utilizing tug-of-war (TOW) algorithm. Furthermore, they confirmed dynamic channel selection in a local area where devices are crowded. In this paper, we conduct evaluation experimentation in a real environment devices are distributed. We clarify effectiveness of the proposed algorithm by evaluating the packet delivery rates and tolerance to channel fluctuations.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Machine Learning / Reinforcement Learning / Multi-Armed-Bandit / IoT / Distributed Channel Selection
Paper # CCS2019-17
Date of Issue 2019-07-25 (CCS)

Conference Information
Committee CCS / IN
Conference Date 2019/8/1(2days)
Place (in Japanese) (See Japanese page)
Place (in English) KIKI SHIRETOKO NATURAL RESORT
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Makoto Naruse(NICT) / Takuji Kishida(NTT-AT)
Vice Chair Shigeki Shiokawa(Kanagawa Inst. of Tech.) / Tetsuya Asai(Hokkaido Univ.) / Kenji Ishida(Hiroshima City Univ.)
Secretary Shigeki Shiokawa(Hiroshima City Univ.) / Tetsuya Asai(Kanagawa Inst. of Tech.) / Kenji Ishida(NTT Communications)
Assistant Hidehiro Nakano(Tokyo City Univ.) / Kazuki Nakada(Tsukuba Univ. of Tech.) / Hiroyasu Ando(Tsukuba Univ.) / Takashi Matsubara(Kobe Univ.)

Paper Information
Registration To Technical Committee on Complex Communication Sciences / Technical Committee on Information Networks
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Performance Evaluation of Machine Learning Based Channel Selection Algorithm Implemented on IoT Sensor Devices
Sub Title (in English)
Keyword(1) Machine Learning
Keyword(2) Reinforcement Learning
Keyword(3) Multi-Armed-Bandit
Keyword(4) IoT
Keyword(5) Distributed Channel Selection
1st Author's Name So Hasegawa
1st Author's Affiliation Tokyo University of Science(TUS)
2nd Author's Name Ma Jing
2nd Author's Affiliation Tokyo University of Science(TUS)
3rd Author's Name Ryoma Kitagawa
3rd Author's Affiliation Tokyo University of Science(TUS)
4th Author's Name Song-Ju Kim
4th Author's Affiliation Keio University(KU)
5th Author's Name Yoshito Watanabe
5th Author's Affiliation National Institute of Information Communications Technology(NICT)
6th Author's Name Liu Wei
6th Author's Affiliation National Institute of Information Communications Technology(NICT)
7th Author's Name Yozo Shoji
7th Author's Affiliation National Institute of Information Communications Technology(NICT)
8th Author's Name Mikio Hasegawa
8th Author's Affiliation Tokyo University of Science(TUS)
Date 2019-08-01
Paper # CCS2019-17
Volume (vol) vol.119
Number (no) CCS-157
Page pp.pp.1-6(CCS),
#Pages 6
Date of Issue 2019-07-25 (CCS)