Revolutionizing FANETs With Reinforcement Learning: Optimized Data Forwarding and Real-Time Adaptability

Revolutionizing FANETs With Reinforcement Learning: Optimized Data Forwarding and Real-Time Adaptability

Uncrewed Aerial Vehicles (UAVs), commonly known as drones, have significantly advanced wireless communication frameworks by enabling the formation of Flying Ad-Hoc Networks (FANETs). FANETs facilitate autonomous collaboration among UAVs through decentralized and self-organizing communication protoco...

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Bibliographic Details
Main Authors: Yasir Ibraheem Mohammed, Rosilah Hassan, Mohammad Kamrul Hasan, Shayla Islam, Huda Saleh Abbas, Muhammad Asghar Khan, Muhammad Attique Khan
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Open Journal of the Communications Society
Subjects:
Data gathering
FANET
UAVs
IoT
reinforcement learning
WSNs
Online Access:https://ieeexplore.ieee.org/document/10979975/
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