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...

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Egile Nagusiak:	Batyrbek Zholamanov, Askhat Bolatbek, Ahmet Saymbetov, Madiyar Nurgaliyev, Evan Yershov, Kymbat Kopbay, Sayat Orynbassar, Gulbakhar Dosymbetova, Ainur Kapparova, Nurzhigit Kuttybay, Nursultan Koshkarbay
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	MDPI AG 2024-12-01
Saila:	Journal of Sensor and Actuator Networks
Gaiak:	LoRaWAN wireless sensor networks packet delivery ratio reinforcement learning Double Deep Q-Network with Prioritized Experience Replay (DDQN-PER) transmission parameter selection
Sarrera elektronikoa:	https://www.mdpi.com/2224-2708/13/6/89
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