A q-learning approach for enhanced routing in dynamic LEO satellite networks

As global communication demand rises, Low Earth Orbit (LEO) satellite systems offer high-speed data transmission and extensive coverage options but face routing challenges due to dynamic topologies. This paper introduces a Q-Learning-based routing approach that converts dynamic networks into virtual...

Full description

Bibliographic Details

Published in:	Egyptian Journal of Remote Sensing and Space Sciences
Main Authors:	Ahmed E. Riyad, Medhat Mokhtar, Mohamed A. Belal, Mahmoud Mohamed Bahloul
Format:	Article
Language:	English
Published:	Elsevier 2025-06-01
Subjects:	Q-learning LEO satellite constellation Optical ISLs Machine learning Satellite routing algorithm Dijkstra algorithm
Online Access:	http://www.sciencedirect.com/science/article/pii/S1110982325000213