[Vol.9 No.2] ICAIIC 최우수논문상 소감 인터뷰

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    2019-06-13 10:51
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The Webzine has one section to cover the interviews of the research team that won the Best Paper Award (including the undergraduate paper) at the conference hosted by the KICS. I would like to ask the authors of the paper for the following information. 

 

Q1: Please introduce the title and brief contents of the paper.

Title: A machine-learning-based channel assignment algorithm for IoT

Brief contents of the paper:

 Multi-channel technique benefits IoT network by support parallel transmission and reduce interference. However, the extra overhead posed by the multi-channel usage coordination dramatically challenges the resource constrained IoT devices. In this paper, a machine-learning-based channel assignment algorithm utilizing Tug-Of-War (TOW) dynamics is proposed to cognitively select channels for communication in massive IoT. Furthermore, the proposed TOW-dynamics-based channel assignment algorithm has simple learning procedure which only needs to receive Acknowledge frame for learning procedure, meanwhile, only needs minimal memory and computation capability, i.e. addition and subtraction procedure. Thus, the proposed TOW-dynamics-based algorithm is possible to run on resource constrained IoT devices. We prototype the proposed algorithm on extremely resource constrained Single-board Computer, which is called cognitive IoT device hereafter. Moreover, the evaluation experiments that densely deployed cognitive IoT devices in the frequently changed radio environment are conducted. The evaluation results show that cognitive IoT device quickly make decision to selects channel when the real environment frequently changed, meanwhile keep fairness among IoT devices

 

Q2: Please briefly introduce the authors (including graduate students, undergraduates).

Jing Ma received her M.Eng. and Dr.Eng. degrees in the Graduate School of Advanced Integration Science, Chiba University in 2010 and 2013, respectively. She was a grantee of the Japanese government MEXT scholarship from 2007 to 2013. She is currently an assistant professor of Tokyo University of Science University. Before she joined Tokyo University of Science, she was a Researcher at the Wireless System Laboratory of National Institute of Information and Communications Technology (NICT). Her research interests include Wireless communication system such as WLAN, WPAN, IoT and cognitive radio network, machine learning.

Tomoya Nagatsuma received his M.E. degree in the Graduate School of Engineering, Tokyo University of Science in 2019. His research interests include wireless communication system and machine learning.

Song-Ju Kim:

Mikio Hasegawa:(Member, IEEE) received the M.Eng., and Dr.Eng. degrees from the Tokyo University of Science, Tokyo, Japan, in 1997, and 2000, respectively. From 1997 to 2000, he was a Research Fellow at the Japan Society for the Promotion of Science (JSPS). From 2000 to 2007, he was with the Communications Research Laboratory (CRL), Ministry of Posts and Telecommunications, which was reorganized as the National Institute of Information and Communications Technology (NICT) in 2004. Currently, he is an Associate Professor in the Department of Electrical Engineering, Tokyo University of Science. His research interests include mobile networks, cognitive radio networks, optimization algorithms, and chaos theory and its applications. Dr. Hasegawa has served as a Secretary of the Chapter Operation Committee for the IEEE Japan Council. He is also a member of the Institute of Electronics, Information and Communication Engineers (IEICE) and has served as an Associate Editor of the IEICE Transactions on Communications, an Associate Editor of IEICE Communications Express, and a Chair of the IEICE Technical Committee on Complex Communication Sciences.

 

Q3: Please introduce the recalled episode during the study.

We’ve been working together tightly for this research. Besides discussing and exchanging ideas by emails, we’ve been meeting together once per month for sharing the progress of this research. Even though It takes long time for Prof. Song-Ju Kim to come to Tokyo University of Science (TUS) for meeting, he’s never been absent. Every time we kept discussing for hours about the research during the meeting. Sometimes we went to dinner together after meeting then came up with some ideas. I would like to express my appreciation to Prof. Song-Ju Kim, Prof. Mikio Hasegawa, and Mr. Tomoya Nagatsuma for providing expertise, idea, and professional guidance that greatly assisted the research.