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

Massive IoT including the large number of resource-constrained IoT devices has gained great attention. IoT devices generate enormous traffic, which causes network congestion. To manage network congestion, multi-channel-based algorithms are proposed. However, most of the existing multi-channel algori...

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Bibliographic Details
Main Authors: Jing Ma, So Hasegawa, Song-Ju Kim, Mikio Hasegawa
Format: Article
Language:English
Published: MDPI AG 2019-09-01
Series:Applied Sciences
Subjects:
IoT
Online Access:https://www.mdpi.com/2076-3417/9/18/3730