Age of Information is a newly introduced metric, getting vivid attention for measuring the freshness of information in real-time networks. This parameter has evolved to guarantee the reception of timely information from the latest status update, received by a user from any real-time application. In this paper, we study a centralized, closed-loop, networked controlled industrial wireless sensor-actuator network for cyber-physical production systems. Here, we jointly address the problem of transmission scheduling of sensor updates and the restoration of an information flow-line after any real-time update having hard-deadline drops from it, resulting a break in the loop. Unlike existing real-time scheduling policies that only ensure timely updates, this work aims to accomplish both the time-sensitivity and data freshness in new and regenerative real-time updates in terms of the age of information. Here, the coexistence of both cyber and physical units and their individual requirements for providing the quality of service to the system, as a whole, seems to be one of the major challenges to handle. In this work, minimization of staleness of the time-critical updates to extract maximum utilization out of its information content and its effects on other network performances are thoroughly investigated. A greedy scheduling policy called Deadline-aware highest latency first has been used to solve this problem; its performance optimality is proved analytically. Finally, our claim is validated by comparing the results obtained by our algorithm with those of other popular scheduling policies through extensive simulations.

中文翻译：

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工业信息物理系统中信息新鲜度和系统性能最大化的优化调度

信息时代是一个新引入的指标，在​​衡量实时网络中信息的新鲜度方面得到了生动的关注。该参数已演变为保证用户从任何实时应用程序接收到的最新状态更新的及时信息的接收。在本文中，我们研究了一个用于信息物理生产系统的集中式、闭环、网络控制的工业无线传感器执行器网络。在这里，我们共同解决了传感器更新的传输调度问题以及在任何具有硬截止期限的实时更新之后恢复信息流线的问题，从而导致循环中断。与现有的仅确保及时更新的实时调度策略不同，这项工作旨在在信息时代的新的和可再生的实时更新中实现时间敏感性和数据新鲜度。在这里，网络和物理单元的共存及其为系统提供服务质量的个别要求，作为一个整体，似乎是要处理的主要挑战之一。在这项工作中，彻底研究了时间关键更新的陈旧性的最小化，以从其信息内容中提取最大利用率及其对其他网络性能的影响。一种叫做Deadline-aware high delay first的贪婪调度策略已经被用来解决这个问题；其性能最优性被分析证明。最后，