Reinforcement-Based Clustering in Flying Ad-Hoc Networks for Serving Vertical and Horizontal Routing

Reinforcement-Based Clustering in Flying Ad-Hoc Networks for Serving Vertical and Horizontal Routing

Unmanned aerial vehicles (UAVs) are receiving increasing attention due to their wide range of applications. Flying ad-hoc networks (FANETs) enable inter-communication between UAVs, but their dynamics and fast changes in mobility and topology make it challenging to achieve stable routing. Clustering...

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Bibliographic Details
Main Authors: Omer T. Abdulhae, Jit Singh Mandeep, M. T. Islam, Md. Shabiul Islam
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Deep reinforcement learning
Q-learning
routing protocols
UAVs
clustering
Online Access:https://ieeexplore.ieee.org/document/10343150/

Internet

https://ieeexplore.ieee.org/document/10343150/

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