Wireless Sensor Networks (WSNs) are being used in various applications such as structural health monitoring and industrial control. Since energy efficiency is one of the major design factors, the existing WSNs primarily rely on low-power, low-rate wireless technologies such as 802.15.4 and Bluetooth. In this paper, we strive to tackle the challenges of developing ultra-high-rate WSNs based on 802.11 (WiFi) standard by proposing Sensifi. As an illustrative application of this system, we consider vibration test monitoring of spacecraft and identify system design requirements and challenges. Our main contributions are as follows. First, we propose packet encoding methods to reduce the overhead of assigning accurate timestamps to samples. Second, we propose energy efficiency methods to enhance the system's lifetime. Third, we reduce the overhead of processing outgoing packets through network stack to enhance sampling rate and mitigate sampling rate instability. Fourth, we study and reduce the delay of processing incoming packets through network stack to enhance the accuracy of time synchronization among nodes. Fifth, we propose a low-power node design for ultra-high-rate applications. Sixth, we use our node design to empirically evaluate the system.

中文翻译：

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Sensifi：超高速率应用的无线传感系统

无线传感器网络（WSN）正在各种应用中使用，例如结构健康监测和工业控制。由于能效是主要的设计因素之一，所以现有的WSN主要依靠低功率，低速率的无线技术，例如802.15.4和蓝牙。在本文中，我们通过提出Sensifi，努力应对开发基于802.11（WiFi）标准的超高速WSN的挑战。作为该系统的说明性应用，我们考虑航天器的振动测试监控，并确定系统设计要求和挑战。我们的主要贡献如下。首先，我们提出分组编码方法，以减少为样本分配准确时间戳的开销。其次，我们提出了提高能源效率的方法，以延长系统的使用寿命。第三，我们减少了通过网络堆栈处理传出数据包的开销，从而提高了采样率并减轻了采样率的不稳定性。第四，我们研究并减少通过网络堆栈处理传入数据包的延迟，以提高节点之间时间同步的准确性。第五，我们提出了针对超高速率应用的低功耗节点设计。第六，我们使用节点设计对系统进行经验评估。