Zero-power self-aware microsystem platform enabled by passive acoustic switch
Long-term continuous monitoring is essential for the Internet of Things (IoT), with efficient power use and sustainable energy supply as core challenges. This study presents a MEMS-based self-holding acoustic switch designed for uninterrupted monitoring of specific acoustic signals with zero power consumption. Microelectromechanical systems (MEMS) refer to miniaturized devices that integrate mechanical and electrical components on a single microchip. A mathematical model is developed to analyze the switch's acoustic frequency response. Simulations and experiments demonstrate its acoustic-driven properties. Acoustic switches with different structural parameters are designed, achieving resonant frequencies ranging from 192 Hz to 862 Hz. Electrostatic voltages are applied to enable self-holding functionality, and the acoustic switch exhibits a contact resistance as low as 29.3 Ω. The acoustic switch successfully performs various functions, including acoustic sensing, frequency identification, on–off control, and self-holding, all without drawing power from an external power supply. By integrating this acoustic switch, a zero-power self-aware microsystem platform is realized, allowing zero-power sleep states without closed-loop circuits while remaining responsive to target acoustic signals. This technology effectively supports long-term, large-scale deployment of unattended IoT terminals.
Authors
- Guozhe Xuan (ORCID: https://orcid.org/0009-0002-0325-3276)
- Deng Yang
- Lingyun Zhang (ORCID: https://orcid.org/0000-0002-4818-0624)
- Xiaoqin Liu (ORCID: https://orcid.org/0000-0001-5064-9690)
- Xiangzheng Sun
- Jiahao Zhao (ORCID: https://orcid.org/0009-0001-2757-6777)
Institutions
- Ministry of Education of the People's Republic of China (CN)
- Beijing Advanced Sciences and Innovation Center (CN)
- Tsinghua University (CN)
Publication Details
- Journal
- Chip
- Published
- 2025-01-27
- DOI
- https://doi.org/10.1016/j.chip.2025.100130
- Citations
- 1
- Primary Topic
- Energy Efficient Wireless Sensor Networks
- Type
- article
- Field-Weighted Citation Impact
- 1.49
Funders
- National Natural Science Foundation of China
- Key Technologies Research and Development Program