Deep reinforcement learning-based mechanism to improve the throughput of EH-WSNs

Deep reinforcement learning-based mechanism to improve the throughput of EH-WSNs

Abstract Energy Harvesting Wireless Sensor Networks (EH-WSNs) are widely adopted for their ability to harvest ambient energy. However, these networks face significant challenges due to the limited and continuously varying energy availability at individual nodes, which depends on unpredictable enviro...

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Bibliographic Details
Main Authors: Zahra Hasani, Maryam Mahdavimoghadam, Razieh Mohammadi, Zahra Shirmohammadi, Amirhossein Nikoofard, Eesa Nikahd, Kasra Davoodi
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Subjects:
Energy harvester wireless sensor networks
Deep reinforcement learning
Deep learning
Throughput
Online Access:https://doi.org/10.1038/s41598-025-14111-y
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