在异质工业网络中的优先级感知执行更新方案
Yeunwoong Kyung1, Jihoon Sung2, Haneul Ko3
1Division of Information & Communication Engineering, Kongju National University, Cheonan-daero, Cheonan 31080, Republic of Korea.
Sensors (Basel, Switzerland)
|January 23, 2024
概括
本研究引入了无线网络控制系统的优先级感知执行更新方案 (PAUS). PAUS平衡货币成本和信息时代 (AoI) 与控制优先事项,提高整体系统性能.
科学领域:
- 无线网络控制系统 (WNCS) 是指无线网络控制系统.
- 信息理论 信息理论
- 控制理论 控制理论
背景情况:
- 信息时代 (AoI) 和执行更新成本是WNCS的关键指标.
- 机会主义的WiFi更新降低了货币成本,但增加了AOI.
- 根据控制优先级的AoI要求变化,需要定制的更新策略.
研究的目的:
- 为WNCS.提出一个优先意识的执行更新计划 (PAUS).
- 考虑控制优先事项,共同优化货币成本和AOI.
- 开发一个决策框架,以便及时更新执行.
主要方法:
- 制定一个马尔科夫决策过程 (MDP) 模型.
- 使用Q学习推导最佳政策.
- 与现有方案相比,PAUS的模拟.
主要成果:
- 拟议的PAUS有效地平衡了货币成本和AOI.
- Q-学习衍生出最佳政策最大化平均回报.
- 与模拟中的其他方案相比,PAUS在模拟中表现出卓越的性能.
结论:
- PAUS提供了一种有效的解决方案,用于管理WNCS.中执行更新.
- 该计划成功地将优先考虑因素与成本-AoI权益权衡相结合.
- Q学习方法为政策优化提供了一种有效的方法.
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