LP-MAB: Improving the Energy Efficiency of LoRaWAN Using a Reinforcement-Learning-Based Adaptive Configuration Algorithm

LP-MAB: Improving the Energy Efficiency of LoRaWAN Using a Reinforcement-Learning-Based Adaptive Configuration Algorithm

In the Internet of Things (IoT), Low-Power Wide-Area Networks (LPWANs) are designed to provide low energy consumption while maintaining a long communications’ range for End Devices (EDs). LoRa is a communication protocol that can cover a wide range with low energy consumption. To evaluate the effici...

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Bibliographic Details
Main Authors: Benyamin Teymuri, Reza Serati, Nikolaos Athanasios Anagnostopoulos, Mehdi Rasti
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Sensors
Subjects:
Internet of Things (IoT)
LoRaWAN
adaptive configuration
machine learning
reinforcement learning
Online Access:https://www.mdpi.com/1424-8220/23/4/2363

Internet

https://www.mdpi.com/1424-8220/23/4/2363

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