A novel Q-learning-based routing scheme using an intelligent filtering algorithm for flying ad hoc networks (FANETs)

The flying ad hoc network (FANET) is an emerging network focused on unmanned aerial vehicles (UAVs) that has attracted the attention of researchers around the world. Due to the cooperation between UAVs in this network, data transfer between these UAVs is very essential. Routing protocols must determ...

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Bibliographic Details
Main Authors:	Mehdi Hosseinzadeh, Saqib Ali, Liliana Ionescu-Feleaga, Bogdan-Stefan Ionescu, Mohammad Sadegh Yousefpoor, Efat Yousefpoor, Omed Hassan Ahmed, Amir Masoud Rahmani, Asif Mehmood
Format:	Article
Language:	English
Published:	Elsevier 2023-12-01
Series:	Journal of King Saud University: Computer and Information Sciences
Subjects:	Flying ad hoc networks (FANETs) Reinforcement learning (RL) Q-learning Routing Unmanned aerial vehicles (UAVs)
Online Access:	http://www.sciencedirect.com/science/article/pii/S1319157823003713

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http://www.sciencedirect.com/science/article/pii/S1319157823003713

A novel Q-learning-based routing scheme using an intelligent filtering algorithm for flying ad hoc networks (FANETs)

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