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A Novel Medium Access Policy Based on Reinforcement Learning in Energy-Harvesting Underwater Sensor Networks

Underwater acoustic sensor networks (UASNs) are fundamental assets to enable discovery and utilization of sub-sea environments and have attracted both academia and industry to execute long-term underwater missions. Given the heightened significance of battery dependency in underwater wireless sensor...

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Autori principali: Çiğdem Eriş, Ömer Melih Gül, Pınar Sarısaray Bölük
Natura: Artigo
Lingua:Inglês
Pubblicazione: MDPI AG 2024-09-01
Serie:Sensors
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Accesso online:https://www.mdpi.com/1424-8220/24/17/5791
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