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From Signal-based to Impedance-based Sensing: A paradigm Shift for Plug-and-Play, Mobile, and Sensitive Battery-free Sensing

Year: 2025

Type: conference-paper

Abstract: 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.

Source: Proceedings of the 28th Annual International Conference on Mobile Computing And Networking

DOI: 10.1145/3680207.3723480

Authors: Liyao Li, Yun Wu, Minsung Kim, Bozhao Shang, Jie Xiong, Wenyao Xu, Xiaojiang Chen, Yaxiong Xie

Institutions: University at Buffalo, State University of New York, Northwest University, Rutgers, The State University of New Jersey, Nanyang Technological University

Language: English

Topic: Energy Harvesting in Wireless Networks

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: green

OpenAlex ID: W4416476126

FWCI:

Cites: 15

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