Project publication · Internet of Things
Summary
The article presents ADRL, a reconfigurable and energy-efficient transmission policy for mobile LoRa devices based on reinforcement learning.
Bibliometric indicators
JCR quartileQ1
Impact factor7.6
Google Scholar citations7
- JCR area
- Engineering, Electrical & Electronic
- JCR year
- 2024
- Scholar query
- 21 May 2026
Main contribution
The contribution makes it possible to adapt transmission to mobility and link conditions, aiming to improve performance and energy consumption compared with static policies in LoRa networks.
Link with BoND1
For BoND1, ADRL strengthens the adaptive-control line in non-cellular IoT networks. The combination of mobility, energy efficiency and machine learning fits the objective of deploying scalable and sustainable B6G connectivity.