Deep Learning Collision Aware Transmission Scheduling for Dense LPWANs

Deep Learning Collision Aware Transmission Scheduling for Dense LPWANs

The rapid growth of the Internet-of-things (IoT) in recent years has led to the development of new access technologies targeting low-power wide area networks (LPWANs). LPWAN is a promising solution for long-range and low-power IoT and machine-to-machine (M2M) communication applications. However, pra...

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Bibliographic Details
Main Authors: Shihab Jimaa, Arafat Al-Dweik, Mohammed Alenezi, Kok Keong Chai, Herminio Vendiola, Waleed Hathal
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Collision rate
deep learning
energy consumption
IoT
LPWAN
packet delivery rate
Online Access:https://ieeexplore.ieee.org/document/10478515/

Internet

https://ieeexplore.ieee.org/document/10478515/

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