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Proactive fault-tolerant wireless mesh networks for mission-critical control systems

机译:关键任务控制系统的主动容错无线网状网络

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Although wireless networks are becoming a fundamental infrastructure for various control applications, they are inherently exposed to network faults such as lossy links and node failures in environments such as mining, outdoor monitoring, and chemical process control. In this paper, we propose a proactive fault-tolerant mechanism to protect the wireless network against temporal faults without any explicit network state information for mission-critical control systems. Specifically, the proposed mechanism optimizes the multiple routing paths, link scheduling, and traffic generation rate such that it meets the control stability demands even if it experiences multiple link faults and node faults. The proactive network relies on a constrained optimization problem, where the objective function is the network robustness, and the main constraints are the set of the traffic demand, link, and routing layer requirements. To analyze the robustness, we propose a novel performance metric called stability margin ratio, based on the network performance and the stability boundary. Our numerical and experimental performance evaluation shows that the traffic generation rate and the delay of wireless networks are found as critical as the network reliability to guarantee the stability of control systems. Furthermore, the proposed proactive network provides more robust performance than practical state-of-the-art solutions while maintaining high energy efficiency.
机译:虽然无线网络成为各种控制应用的基础设施,但它们本质上暴露于网络故障,例如矿业,室外监测和化学过程控制等环境中的有损链路和节点故障。在本文中,我们提出了一种主动容错机制,以保护无线网络免受任务关键控制系统的任何显式网络状态信息的不带任何显式网络状态信息。具体地,所提出的机制优化了多个路由路径,链路调度和流量生成速率,使得它即使它经历了多个链路故障和节点故障,它也满足控制稳定性需求。主动网络依赖于受限的优化问题,其中目标函数是网络稳健性,主要约束是业务需求,链接和路由层要求的集合。为了分析稳健性,我们提出了一种基于网络性能和稳定边界的新颖性能度量,称为稳定性边缘比。我们的数值和实验性能评估表明,无线网络的交通产生率和无线网络的延迟作为网络可靠性,以保证控制系统的稳定性。此外,所提出的主动网络提供比实际的最先进的解决方案更强大的性能,同时保持高能量效率。

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