Future Industrial Internet-of-Things (IIoT) systems will require wireless solutions to connect sensors, actuators, and controllers as part of high data rate feedback-control loops over real-time flows. A key challenge in such networks is to provide predictable performance and adaptability in response to link quality variations. We address this challenge by developing RECeiver ORiented Policies (Recorp), which leverages the stability of IIoT workloads by combining offline policy synthesis and run-time adaptation. Compared to schedules that service a single flow in a slot, Recorp policies share slots among multiple flows by assigning a coordinator and a list of flows that may be serviced in the same slot. At run-time, the coordinator will execute one of the flows depending on which flows the coordinator has already received. A salient feature of Recorp is that it provides predictable performance: a policy meets the end-to-end reliability and deadline of flows when the link quality exceeds a user-specified threshold. Experiments show that across IIoT workloads, policies provided a median increase of 50% to 142% in real-time capacity and a median decrease of 27% to 70% in worst-case latency when schedules and policies are configured to meet an end-to-end reliability of 99%.

中文翻译：

---

Recorp：面向接收器的工业无线网络策略

未来的工业物联网 (IIoT) 系统将需要无线解决方案来连接传感器、执行器和控制器，作为实时流上高数据速率反馈控制回路的一部分。这种网络的一个关键挑战是提供可预测的性能和适应性以响应链路质量的变化。我们通过开发面向接收器的策略 (Recorp) 来应对这一挑战，该策略通过结合离线策略合成和运行时适应来利用 IIoT 工作负载的稳定性。与在一个槽中为单个流提供服务的调度相比，Recorp 策略通过分配一个协调器和一个可以在同一槽中服务的流列表在多个流之间共享槽。在运行时，协调器将根据协调器已经接收到的流来执行流之一。Recorp 的一个显着特点是它提供了可预测的性能：当链路质量超过用户指定的阈值时，策略满足流的端到端可靠性和截止日期。实验表明，在 IIoT 工作负载中，当计划和策略配置为满足端到端要求时，策略提供的实时容量中位数增加 50% 至 142%，最坏情况延迟的中位数减少 27% 至 70% - 99% 的最终可靠性。