工业环境中移动设备的Wi-Fi速率自适应
Wi-Fi Rate Adaptation for Moving Equipment in Industrial Environments
AI总结：
本文评估了Minstrel算法在工业环境中的性能，关注延迟和包丢失率，为未来基于数字孪生的速率自适应算法发展提供基础。
摘要：
Wi-Fi目前被认为是连接移动设备（例如自主移动机器人和主动外骨骼）在工业环境中的最有前途的解决方案。然而，工业环境对可靠性的要求，如确保有界传输延迟，是空中通信的主要挑战。影响数据包到达目的地概率的一个方面是选择适当的传输速率。速率自适应算法负责此操作，但其设计和实现并未由IEEE 802.11标准规范。最受欢迎的解决方案之一，作为开源提供的是Minstrel，它是Linux内核的默认选择。在本文中，对Minstrel在静态和移动场景下的性能进行了评估。我们的分析聚焦于工业环境感兴趣的指标，即延迟和包丢失率，并为基于集中式数字孪生的增强速率自适应算法的未来发展提供了初步评估。
英文摘要：
Wi-Fi is currently considered one of the most promising solutions for interconnecting mobile equipment (e.g., autonomous mobile robots and active exoskeletons) in industrial environments. However, relability requirements imposed by the industrial context, such as ensuring bounded transmission latency, are a major challenge for over-the-air communication. One of the aspects of Wi-Fi technology that greatly affects the probability of a packet reaching its destination is the selection of the appropriate transmission rate. Rate adaptation algorithms are in charge of this operation, but their design and implementation are not regulated by the IEEE 802.11 standard. One of the most popular solutions, available as open source, is Minstrel, which is the default choice for the Linux Kernel. In this paper, Minstrel performance is evaluated for both static and mobility scenarios. Our analysis focuses on metrics of interest for industrial contexts, i.e., latency and packet loss ratio, and serves as a preliminary evaluation for the future development of enhanced rate adaptation algorithms based on centralized digital twins.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
