Wireless sensor-actuator network (WSAN) technology is gaining rapid adoption by industrial Internet of Things applications in recent years. A WSAN typically connects sensors, actuators, and controllers in industrial facilities, such as steel mills, oil refineries, chemical plants, and infrastructures implementing complex monitoring and control processes. IEEE 802.15.4–based WSANs operate at low power and can be manufactured inexpensively, which makes them ideal where battery lifetime and costs are important. Recent studies have shown that the selection of network parameters has a significant effect on network performance. However, the current practice of parameter selection is largely based on experience and rules of thumb involving a coarse-grained analysis of expected network load and dynamics or measurements during a few field trials, resulting in non-optimal decisions in many cases. In this work, we develop P-SAFE (Parameter Selection and Adaptation FramEwork), which optimally selects the network parameters based on the application quality-of-service demands and adapts the parameter configuration at runtime to consistently satisfy the dynamic requirements. We implement P-SAFE and evaluate it on three physical testbeds. Experimental results show that our solution can significantly better meet the application quality-of-service demand compared to the state of the art.

中文翻译：

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工业无线传感器-执行器网络的参数自适应

近年来，无线传感器-执行器网络 (WSAN) 技术正迅速被工业物联网应用所采用。WSAN 通常连接工业设施中的传感器、执行器和控制器，例如钢厂、炼油厂、化工厂和实施复杂监控过程的基础设施。基于 IEEE 802.15.4 的 WSAN 以低功耗运行，并且制造成本低廉，这使得它们成为电池寿命和成本很重要的理想选择。最近的研究表明，网络参数的选择对网络性能有显着影响。然而，当前的参数选择实践主要基于经验和经验法则，涉及对预期网络负载和动态或在一些现场试验期间的测量进行粗粒度分析，在许多情况下会导致非最佳决策。在这项工作中，我们开发了 P-SAFE（参数选择和适应框架），它根据应用服务质量需求优化选择网络参数，并在运行时调整参数配置以始终满足动态要求。我们实施 P-SAFE 并在三个物理测试台上对其进行评估。实验结果表明，与现有技术相比，我们的解决方案可以显着更好地满足应用程序服务质量需求。它根据应用服务质量需求优化选择网络参数，并在运行时调整参数配置以始终满足动态需求。我们实施 P-SAFE 并在三个物理测试台上对其进行评估。实验结果表明，与现有技术相比，我们的解决方案可以显着更好地满足应用程序服务质量需求。它根据应用服务质量需求优化选择网络参数，并在运行时调整参数配置以始终满足动态需求。我们实施 P-SAFE 并在三个物理测试台上对其进行评估。实验结果表明，与现有技术相比，我们的解决方案可以显着更好地满足应用程序服务质量需求。