Bounding Network-Induced Delays of Wireless PRP Infrastructure for Industrial Control Systems
Bounding Network-Induced Delays of Wireless PRP Infrastructure for Industrial Control Systems
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DOI：
10.1109/icc.2019.8761893
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发表时间：
2019-05
期刊：
影响因子：
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通讯作者：
Huan Yang;Liang Cheng
中科院分区：
文献类型：
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作者：
Huan Yang;Liang Cheng
近来，诸如无线局域网（WLAN）的无线通信技术由于其低成本和易于部署而在工业控制系统（ICS）中越来越普及，但是与这些技术相关联的通信延迟使得其不适合于关键的实时和安全应用。为了解决对无线通信技术的网络引起的延迟的关注并将其优点引入现代ICS中，已经提出了基于并行冗余协议（PRP）的无线网络基础设施。虽然已经进行了特定应用的模拟和测量，以表明基于PRP的无线网络基础设施可以是具有严格延迟性能约束的关键应用的可行解决方案，但很少有人设计一个分析框架，以促进在杂项ICS中采用无线PRP基础设施。利用确定性网络演算（DNC）理论，我们建议解析推导出最坏情况下的临界ICS应用程序的网络诱导延迟的界限。我们表明，无线PRP网络的最坏情况下的延迟绑定的问题可以通过执行网络演算为基础的分析其非前馈流量模式来解决。封闭形式的表达式推导出的最坏情况下的延迟，这还没有被发现以前，允许ICS架构师/设计师计算最坏情况下的延迟界限ICS任务在各自的应用领域的利益。我们的分析结果不仅提供了深入了解网络引起的延迟对延迟关键任务的影响，而且还允许ICS架构师/运营商评估是否可以在其系统中采用适当的无线RPR网络基础设施。
Recently, wireless communication technologies, such as Wireless Local Area Networks (WLANs), have gained increasing popularity in industrial control systems (ICSs) due to their low cost and ease of deployment, but communication delays associated with these technologies make it unsuitable for critical real-time and safety applications. To address concerns on network-induced delays of wireless communication technologies and bring their advantages into modern ICSs, wireless network infrastructure based on the Parallel Redundancy Protocol (PRP) has been proposed. Although application-specific simulations and measurements have been conducted to show that wireless network infrastructure based on PRP can be a viable solution for critical applications with stringent delay performance constraints, little has been done to devise an analytical framework facilitating the adoption of wireless PRP infrastructure in miscellaneous ICSs. Leveraging the deterministic network calculus (DNC) theory, we propose to analytically derive worst-case bounds on network-induced delays for critical ICS applications. We show that the problem of worst-case delay bounding for a wireless PRP network can be solved by performing network-calculus-based analysis on its non-feedforward traffic pattern. Closed-form expressions of worst-case delays are derived, which has not been found previously and allows ICS architects/designers to compute worst-case delay bounds for ICS tasks in their respective application domains of interest. Our analytical results not only provide insights into the impacts of network-induced delays on latency-critical tasks but also allow ICS architects/operators to assess whether proper wireless RPR network infrastructure can be adopted into their systems.