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The Impact of Rate Adaptation Algorithms on Wi-Fi-Based Factory Automation Systems

机译：速率适应算法对基于Wi-Fi的工厂自动化系统的影响

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摘要

Factory automation systems based on the IEEE 802.11 Wi-Fi standard may benefit from its Multi-Rate Support (MRS) feature, which allows for dynamically selecting the most suitable transmission rate for the targeted application context. The MRS is implemented by means of rate adaptation algorithms (RAAs), which has already demonstrated to be effective to improve both timeliness and reliability, which are typically strict requirements of industrial real-time communication systems. Indeed, some of such algorithms have been specifically conceived for reliable real-time communications. However, the computational complexity of such algorithms has not been effectively investigated yet. In this paper, we address such an issue, particularly focusing on the execution times of some specific rate adaptation algorithms, as well as on their impact on the automation tasks. In this respect, after a formal description of the algorithms, we present the outcomes of an extensive experimental session, which includes practical measurements and realistic simulations. The obtained results are encouraging, since the measured execution times indicate that rate adaptation algorithms can be profitably adopted by industrial automation systems, allowing for improving their reliability and timeliness without impacting on the overall performance.
机译：基于IEEE 802.11 Wi-Fi标准的工厂自动化系统可能受益于其多速率支持（MRS）功能，其允许动态为目标应用上下文的最合适的传输速率。 MRS是通过速率适应算法（RAAS）实施的，这已经证明是有效改善及时性和可靠性，这通常是工业实时通信系统的严格要求。实际上，已经专门构思了一些这样的算法以获得可靠的实时通信。然而，尚未有效地研究了这种算法的计算复杂性。在本文中，我们解决了这样一个问题，特别是关注某些特定速率适应算法的执行时间，以及它们对自动化任务的影响。在这方面，在算法的正式描述之后，我们介绍了广泛的实验会议的结果，包括实际测量和现实模拟。获得的结果是令人鼓舞的，因为测量的执行时间表明，工业自动化系统可以利用速率适应算法，从而可以提高其可靠性和及时性而不影响整体性能。

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