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September 10, 2025Scientific ReportsOpen Access

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

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Improving throughput by 11.79% highlights the effectiveness of the proposed DRL-based method in EH-WSNs.
Simulation results indicate the new method significantly enhances responsiveness to dynamic network conditions.
Using Q-learning and deep neural networks enables adaptive selection of transmission actions based on energy states.
Traditional methods often overlook subtle variations in energy levels, leading to suboptimal performance in EH-WSNs.

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Proposed energy-aware transmission method enhances throughput in EH-WSNs, suggesting improved energy efficiency.

Hasani et al. (2025) studied this question.

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