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...

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Bibliografske podrobnosti

Principais autores:	Ahmed E. Riyad, Medhat Mokhtar, Mohamed A. Belal, Mahmoud Mohamed Bahloul
Format:	Artigo
Jezik:	Inglês
Izdano:	Elsevier 2025-06-01
Serija:	Egyptian Journal of Remote Sensing and Space Sciences
Teme:	Q-learning LEO satellite constellation Optical ISLs Machine learning Satellite routing algorithm Dijkstra algorithm
Online dostop:	http://www.sciencedirect.com/science/article/pii/S1110982325000213
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