Performance Evaluation of Reinforcement Learning Based Distributed Channel Selection Algorithm in Massive IoT Networks-Reference-Cited by-同舟云学术

Performance Evaluation of Reinforcement Learning Based Distributed Channel Selection Algorithm in Massive IoT Networks

Published:2022 Issue: Volume:10 Page:67870-67882
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Yamamoto Daisuke¹^ORCID,Furukawa Honami¹,Li Aohan²^ORCID,Ito Yusuke³,Sato Koya⁴^ORCID,Oshima Koji⁵^ORCID,Hasegawa So⁶^ORCID,Watanabe Yoshito⁶^ORCID,Shoji Yozo⁶,Kim Song-Ju¹,Hasegawa Mikio¹^ORCID

Affiliation:

1. Department of Electrical Engineering, Tokyo University of Science, Tokyo, Japan

2. Graduate School of Informatics and Engineering, The University of Electro-Communications, Tokyo, Japan

3. Department of Information Systems Engineering, University of Kitakyushu, Fukuoka, Japan

4. Artificial Intelligence eXploration Research Center (AIX), The University of Electro-Communications, Tokyo, Japan

5. Innovation Design Initiative, National Institute of Information and Communications Technology, Tokyo, Japan

6. Social-ICT System Laboratory, National Institute of Information and Communications Technology, Tokyo, Japan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09808133.pdf?arnumber=9808133

Reference36 articles.

1. Performance Evaluation of Machine Learning Based Channel Selection Algorithm Implemented on IoT Sensor Devices and Its Application to Wireless Sensor Network for Building Monitoring System

2. A Reinforcement-Learning-Based Distributed Resource Selection Algorithm for Massive IoT

3. A Neighbor-Based Probabilistic Broadcast Protocol for Data Dissemination in Mobile IoT Networks

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