Enhanced Reinforcement Learning Algorithm Based-Transmission Parameter Selection for Optimization of Energy Consumption and Packet Delivery Ratio in LoRa Wireless Networks

Enhanced Reinforcement Learning Algorithm Based-Transmission Parameter Selection for Optimization of Energy Consumption and Packet Delivery Ratio in LoRa Wireless Networks

Wireless communication technologies (WSN) are pivotal for the successful deployment of the Internet of Things (IoT). Among them, long-range (LoRa) and long-range wide-area network (LoRaWAN) technologies have been widely adopted due to their ability to provide long-distance communication, low energy...

Full description

Saved in:
Bibliographic Details
Main Authors: Batyrbek Zholamanov, Askhat Bolatbek, Ahmet Saymbetov, Madiyar Nurgaliyev, Evan Yershov, Kymbat Kopbay, Sayat Orynbassar, Gulbakhar Dosymbetova, Ainur Kapparova, Nurzhigit Kuttybay, Nursultan Koshkarbay
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Journal of Sensor and Actuator Networks
Subjects:
LoRaWAN
wireless sensor networks
packet delivery ratio
reinforcement learning
Double Deep Q-Network with Prioritized Experience Replay (DDQN-PER)
transmission parameter selection
Online Access:https://www.mdpi.com/2224-2708/13/6/89
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items