Autonomous Decentralized Traffic Control Using Q-Learning in LPWAN

Autonomous Decentralized Traffic Control Using Q-Learning in LPWAN

Owing to the recent research and development on the Internet-of-Things (IoT) and machine-to-machine (M2M) communication, wireless sensor networks have attracted considerable attention. Among these networks, low power wide area networks (LPWANs), which realize low power, low data rate, and wide commu...

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Bibliographic Details
Main Authors: Aoto Kaburaki, Koichi Adachi, Osamu Takyu, Mai Ohta, Takeo Fujii
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Internet of Things (IoT)
LoRaWAN
low power wide area networks (LPWAN)
machine learning
resource allocation
Online Access:https://ieeexplore.ieee.org/document/9467365/

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