Dynamic Reinforcement Learning based Scheduling for Energy-Efficient Edge-Enabled LoRaWAN
Author:
Affiliation:
1. Kennesaw State University,Department of Computer Science,Marietta,GA 30060,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9894293/9894294/09894340.pdf?arnumber=9894340
Reference4 articles.
1. Do LoRa Low-Power Wide-Area Networks Scale?
2. $FREE$ —Fine-Grained Scheduling for Reliable and Energy-Efficient Data Collection in LoRaWAN
3. LoRa-RL: Deep Reinforcement Learning for Resource Management in Hybrid Energy LoRa Wireless Networks
4. Intelligent resource allocation in dense lora networks using deep reinforcement learning;ilahi,2020
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1. Design and Implementation of Multithreaded CAD-Enabled LoRa Simulator for Massive IoT;2024 18th International Conference on Ubiquitous Information Management and Communication (IMCOM);2024-01-03
2. Dynamic transmission policy for enhancing LoRa network performance: A deep reinforcement learning approach;Internet of Things;2023-12
3. Dynamic Sleep Scheduling for Wireless TP Sensor Transmissions Based on Reinforcement Learning;IEEE Sensors Letters;2023-11
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