Decentralized queue control with delay shifting in edge-IoT using reinforcement learning
Abstract The article presents an adaptive approach to modelling and managing the service process of requests at peripheral nodes of edge-IoT systems. This approach is highly relevant in light of increasing demands for energy efficiency, responsiveness, and self-regulation under unstable traffic cond...
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-08-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-025-13983-4 |
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