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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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書誌詳細
主要な著者: Ahmed E. Riyad, Medhat Mokhtar, Mohamed A. Belal, Mahmoud Mohamed Bahloul
フォーマット: Artigo
言語:Inglês
出版事項: Elsevier 2025-06-01
シリーズ:Egyptian Journal of Remote Sensing and Space Sciences
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オンライン・アクセス:http://www.sciencedirect.com/science/article/pii/S1110982325000213
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