Schott Lydia, Fromm Robert, Bouattour Ghada, Kanoun Olfa, Derbel Faouzi
Smart Diagnostic and Online Monitoring, Leipzig University of Applied Sciences, Wächterstrasse 13, 04107 Leipzig, Germany.
Measurement and Sensor Technology, Chemnitz University of Technology, Reichenhainer Straße 70, 09126 Chemnitz, Germany.
Sensors (Basel). 2022 Mar 10;22(6):2169. doi: 10.3390/s22062169.
With the introduction of Internet of Things (IoT) technology in several sectors, wireless, reliable, and energy-saving communication in distributed sensor networks are more important than ever. Thereby, wake-up technologies are becoming increasingly important as they significantly contribute to reducing the energy consumption of wireless sensor nodes. In an indoor environment, the use of wireless sensors, in general, is more challenging due to signal fading and reflections and needs, therefore, to be critically investigated. This paper discusses the performance analysis of wake-up receiver (WuRx) architectures based on two low frequency (LF) amplifier approaches with regard to sensitivity, power consumption, and package error rate (PER). Factors that affect systems were compared and analyzed by analytical modeling, simulation results, and experimental studies with both architectures. The developed WuRx operates in the 868 MHz band using on-off-keying (OOK) signals while supporting address detection to wake up only the targeted network node. By using an indoor setup, the signal strength and PER of received signal strength indicator (RSSI) in different rooms and distances were determined to build a wireless sensor network. The results show a wake-up packets (WuPts) detection probability of about 90% for an interior distance of up to 34 m.
随着物联网（IoT）技术在多个领域的引入，分布式传感器网络中的无线、可靠且节能的通信比以往任何时候都更加重要。因此，唤醒技术变得越来越重要，因为它们对降低无线传感器节点的能耗有显著贡献。在室内环境中，由于信号衰落和反射，一般来说无线传感器的使用更具挑战性，因此需要进行严格研究。本文讨论了基于两种低频（LF）放大器方法的唤醒接收器（WuRx）架构在灵敏度、功耗和包错误率（PER）方面的性能分析。通过分析建模、仿真结果以及对两种架构的实验研究，对影响系统的因素进行了比较和分析。所开发的WuRx在868 MHz频段使用开关键控（OOK）信号运行，同时支持地址检测以仅唤醒目标网络节点。通过使用室内设置，确定了不同房间和距离下接收信号强度指示（RSSI）的信号强度和PER，以构建无线传感器网络。结果表明，对于室内距离达34 m的情况，唤醒数据包（WuPts）的检测概率约为90%。
