Intelligent routing agent based on Q-learning and Markov decision processes for routing optimization in DTN networks
DTN networks present significant routing challenges due to their intermittent connectivity and node mobility. Traditional routing protocols, often pre-established, prove inadequate in adapting to the changing dynamics of DTN networks. To address these challenges, the integration of advanced artifici...
Збережено в:
| Автор: | |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
KeAi Communications Co., Ltd.
2025-01-01
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| Серія: | International Journal of Intelligent Networks |
| Предмети: | |
| Онлайн доступ: | http://www.sciencedirect.com/science/article/pii/S2666603025000107 |
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