TY - GEN
T1 - From Signal-based to Impedance-based Sensing
T2 - 31st Annual International Conference on Mobile Computing and Networking, ACM MobiCom 2025
AU - Li, Liyao
AU - Wu, Yun
AU - Kim, Minsung
AU - Shang, Bozhao
AU - Xiong, Jie
AU - Xu, Wenyao
AU - Chen, Xiaojiang
AU - Xie, Yaxiong
N1 - Publisher Copyright:
© 2025 Copyright held by the owner/author(s). Publication rights licensed to ACM.
PY - 2025/11/21
Y1 - 2025/11/21
N2 - Battery-free sensing has revolutionized IoT applications, but current solutions relying on signal variations between transmitted and backscattered signals remain vulnerable to environmental dynamics and deployment variations. This paper promotes a paradigm shift: inferring targets through antenna impedance variations instead of signal fluctuations, thereby eliminating the impact of unpredictable wireless communication. We demonstrate the effectiveness of this paradigm by reimplementing three existing applications: RIO [1], Keystub [2], and RF-EATS [3]. Compared to original signal-based implementations, our approach shows significant improvements in accuracy and robustness across diverse environments. Furthermore, By integrating antenna engineering with advanced materials science, we also transform antennas into innovative sensors for pressure, temperature, and UV light sensing. This interdisciplinary methodology pushes the boundaries of battery-free sensing, opening new avenues for IoT applications.
AB - Battery-free sensing has revolutionized IoT applications, but current solutions relying on signal variations between transmitted and backscattered signals remain vulnerable to environmental dynamics and deployment variations. This paper promotes a paradigm shift: inferring targets through antenna impedance variations instead of signal fluctuations, thereby eliminating the impact of unpredictable wireless communication. We demonstrate the effectiveness of this paradigm by reimplementing three existing applications: RIO [1], Keystub [2], and RF-EATS [3]. Compared to original signal-based implementations, our approach shows significant improvements in accuracy and robustness across diverse environments. Furthermore, By integrating antenna engineering with advanced materials science, we also transform antennas into innovative sensors for pressure, temperature, and UV light sensing. This interdisciplinary methodology pushes the boundaries of battery-free sensing, opening new avenues for IoT applications.
UR - https://www.scopus.com/pages/publications/105023822749
U2 - 10.1145/3680207.3723480
DO - 10.1145/3680207.3723480
M3 - Conference contribution
AN - SCOPUS:105023822749
T3 - ACM MobiCom 2025 - Proceedings of the 2025 the 31st Annual International Conference on Mobile Computing and Networking
SP - 375
EP - 390
BT - ACM MobiCom 2025 - Proceedings of the 2025 the 31st Annual International Conference on Mobile Computing and Networking
PB - Association for Computing Machinery, Inc
Y2 - 4 November 2025 through 8 November 2025
ER -