超低功耗模拟唤醒探测器在环境物联网和军事智能粉尘中的应用

Manon Fourniol, V. Gies, V. Barchasz, E. Kussener, H. Glotin
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引用次数: 7

摘要

本文提出了一种基于频率分析的超低功耗唤醒系统,用于环境和军用物联网无线网络的同步和触发。该唤醒检测器的平均功耗为34μW,能够检测不同频段的信号,并为每个信号产生单独的输出中断。增加一个额外的频带检测器只需要额外的500nA。介绍了无人机在战场上军用智能粉尘数据检索以及环境无线传感器网络的激活和同步等方面的应用。随后使用多频光脉冲突发传播算法在50ms内触发密集雨林等恶劣条件下的整个无线传感器网络,并在大型网络中以小于20μs的定时精度同步。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Applications of an Ultra Low-Power Analog Wake-up Detector for Environmental IoT Networks and Military Smart Dust
Being used for synchronizing and triggering environmental and military Internet of Things (IoT) wireless networks, an ultra low power wake-up system based on frequency analysis is presented in this paper. With an average power consumption of 34μW, this wake-up detector is able to detect signals in different frequency bands, generating a separate output interrupt for each of them. Adding an additional frequency band detector only costs an additional 500nA. Applications to data retrieval in a military smart dust using a drone on a battlefield, and for activation and synchronization of a environmental wireless sensor network are presented. This later uses a multi-frequency light pulses burst propagation algorithm for triggering a whole wireless sensor network in harsh conditions such as a dense rain forest in 50ms, and for synchronizing it with a timing precision of less than 20μs in a large network.
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