A Q-learning-based smart clustering routing method in flying Ad Hoc networks

A Q-learning-based smart clustering routing method in flying Ad Hoc networks

Flying ad hoc networks (FANETs) have particular importance in various military and civilian applications due to their specific features, including frequent topological changes, the movement of drones in a three-dimensional space, and their restricted energy. These features have created challenges fo...

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Bibliographic Details
Main Authors: Mehdi Hosseinzadeh, Jawad Tanveer, Amir Masoud Rahmani, Khursheed Aurangzeb, Efat Yousefpoor, Mohammad Sadegh Yousefpoor, Aso Darwesh, Sang-Woong Lee, Mahmood Fazlali
Format: Article
Language:English
Published: Elsevier 2024-01-01
Series:Journal of King Saud University: Computer and Information Sciences
Subjects:
Flying ad hoc networks (FANETs)
Clustering
Unmanned aerial vehicles (UAVs)
Reinforcement learning (RL)
Machine learning (ML)
Online Access:http://www.sciencedirect.com/science/article/pii/S1319157823004482

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http://www.sciencedirect.com/science/article/pii/S1319157823004482

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