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LP-MAB: Improving the Energy Efficiency of LoRaWAN Using a Reinforcement-Learning-Based Adaptive Configuration
Benyamin Teymuri1, Reza Serati1, Nikolaos Athanasios Anagnostopoulos2
1Department of Computer Engineering, Amirkabir University of Technology, Tehran P.O. Box 15875-4413, Iran.
Sensors (Basel, Switzerland)
|February 28, 2023
Summary
This study introduces a new Multi-Armed Bandit (MAB) algorithm for optimizing LoRaWAN transmission parameters. The proposed Low-Power Multi-Armed Bandit (LP-MAB) algorithm reduces energy consumption while maintaining a high packet delivery rate.
Area of Science:
- Internet of Things (IoT)
- Wireless Communications
- Network Optimization
Background:
- Low-Power Wide-Area Networks (LPWANs) are crucial for IoT devices, offering long range and low energy consumption.
- LoRaWAN is a popular LPWAN technology, but its efficiency depends on configuring transmission parameters.
- Adaptive Data Rate (ADR) algorithms aim to improve Packet Delivery Rate (PDR) by adjusting these parameters.
Purpose of the Study:
- To develop a novel algorithm for optimizing End Device (ED) transmission parameters in LoRaWAN.
- To improve Energy Consumption (EC) while maintaining a high PDR.
- To centralize parameter configuration on the Network Server (NS) side.
Main Methods:
- Introduction of the Low-Power Multi-Armed Bandit (LP-MAB) algorithm.
- Utilizing the Multi-Armed Bandit (MAB) technique for centralized parameter configuration.
- Evaluation through simulation across various scenarios and comparison with existing approaches.
Main Results:
- The LP-MAB algorithm demonstrates superior Energy Consumption (EC) compared to other methods.
- The proposed algorithm effectively maintains a high Packet Delivery Rate (PDR).
- Performance is validated across diverse operational circumstances.
Conclusions:
- The LP-MAB algorithm offers an efficient solution for optimizing LoRaWAN performance.
- Centralized MAB-based configuration is a viable strategy for enhancing LPWAN efficiency.
- The approach balances energy savings with reliable data transmission for IoT applications.
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