Reinforcement Learning-Based Time-Slotted Protocol: A Reinforcement Learning Approach for Optimizing Long-Range Network Scalability

Reinforcement Learning-Based Time-Slotted Protocol: A Reinforcement Learning Approach for Optimizing Long-Range Network Scalability

The Internet of Things (IoT) is revolutionizing communication by connecting everyday objects to the Internet, enabling data exchange and automation. Low-Power Wide-Area networks (LPWANs) provide a wireless communication solution optimized for long-range, low-power IoT devices. LoRa is a prominent LP...

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Bibliographic Details
Main Authors: Nuha Alhattab, Fatma Bouabdallah, Enas F. Khairullah, Aishah Aseeri
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Sensors
Subjects:
LoRa
Q-learning
LPWAN
scalability
IoT
Online Access:https://www.mdpi.com/1424-8220/25/8/2420
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