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可持续的资源分配和减少基于物联网设备中支持联合学习的数字双胞胎的延迟

Mohammed A Alhartomi1, Adeeb Salh2, Lukman Audah3

  • 1Department of Electrical Engineering, University of Tabuk, Tabuk 71491, Saudi Arabia.

Sensors (Basel, Switzerland)
|August 26, 2023
PubMed
概括

本研究介绍了一个数字双胞胎 (DT) 和区块链框架,用于安全的实时边缘计算. 深度强化学习 (Deep-RL) 代理优化了资源配置,提高了物联网设备的效率和降低了成本.

关键词:
在深度RLRL中.数字双胞胎是一个数字双胞胎.能源消耗 能源消耗 能源消耗物联网的东西互联网.资源分配的资源分配.

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