Presentation 2022-01-24
Channel Selection of Environment-Adaptive Sensor Networks Using Channel Occupancy Rate
Taiki Matsushima, Takeo Fujii,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In Wireless Sensor Networks (WSNs), it is possible to transmit packets efficiently by implementing an autonomous distributed channel selection method in which a Sensor Node (SN) selects the channel to be used by itself. In addition, autonomous distributed channel selection is modeled as a Multi-Armed Bandit (MAB) problem, and execution of channel selection based on Tug-of-War (TOW) dynamics can achieve highly efficient learning with low computational complexity. On the other hand, channel selection based on TOW dynamics determines the reward only based on whether an Acknowledgement (ACK) frame is received, which means that the reward is determined without considering the environment surrounding the SN. In this paper, we propose an algorithm that determines the reward using the channel occupancy rate and existence of hidden terminals in addition to whether an ACK frame is received. The proposed algorithm calculates the most recent channel occupancy rate to determine the reward. Then, the reward is changed according to the calculated channel occupancy rate and the presence of hidden terminals. Simulation results show that the proposed method can adapt to rapidly changing environment and select the best channel compared to the method that determines the reward based only on whether an ACK frame is received.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Wireless Sensor Networks / Channel Selection / Multi-Armed Bandit Problem
Paper # SR2021-65
Date of Issue 2022-01-17 (SR)

Conference Information
Committee SR
Conference Date 2022/1/24(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Suguru Kameda(Hiroshima Univ.)
Vice Chair Osamu Takyu(Shinshu Univ.) / Kentaro Ishidu(NICT) / Kazuto Yano(ATR)
Secretary Osamu Takyu(Mie Univ.) / Kentaro Ishidu(Tokai Univ.) / Kazuto Yano(NTT)
Assistant Mai Ohta(Fukuoka Univ.) / Taichi Ohtsuji(NEC) / WANG Xiaoyan(Ibaraki Univ.) / Akemi Tanaka(MathWorks)

Paper Information
Registration To Technical Committee on Smart Radio
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Channel Selection of Environment-Adaptive Sensor Networks Using Channel Occupancy Rate
Sub Title (in English)
Keyword(1) Wireless Sensor Networks
Keyword(2) Channel Selection
Keyword(3) Multi-Armed Bandit Problem
1st Author's Name Taiki Matsushima
1st Author's Affiliation The University of Electro-Communications(UEC)
2nd Author's Name Takeo Fujii
2nd Author's Affiliation The University of Electro-Communications(UEC)
Date 2022-01-24
Paper # SR2021-65
Volume (vol) vol.121
Number (no) SR-345
Page pp.pp.31-36(SR),
#Pages 6
Date of Issue 2022-01-17 (SR)