Multi-Armed-Bandit Based Channel Selection Algorithm for Massive Heterogeneous Internet of Things Networks

Multi-Armed-Bandit Based Channel Selection Algorithm for Massive Heterogeneous Internet of Things Networks

In recent times, the number of Internet of Things devices has increased considerably. Numerous Internet of Things devices generate enormous traffic, thereby causing network congestion and packet loss. To address network congestion in massive Internet of Things systems, an efficient channel allocatio...

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Bibliographic Details
Main Authors: So Hasegawa, Ryoma Kitagawa, Aohan Li, Song-Ju Kim, Yoshito Watanabe, Yozo Shoji, Mikio Hasegawa
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Applied Sciences
Subjects:
massive heterogeneous IoT networks
distributed channel selection
reinforcement learning
multi-armed bandit
Online Access:https://www.mdpi.com/2076-3417/12/15/7424

Internet

https://www.mdpi.com/2076-3417/12/15/7424

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