Metasurface-Inspired Maintenance-Free IoT Tags Characterised in Both Frequency and Time Domains

TL;DR

This paper introduces maintenance-free IoT tags inspired by metasurfaces, capable of being characterized in both frequency and time domains through waveform-selective mechanisms, enhancing network scalability and reducing maintenance.

Contribution

It presents novel metasurface-inspired IoT tags with time-domain characterization capabilities using waveform-selective circuits, validated through numerical and experimental methods.

Findings

Successful numerical and experimental validation of the tags.

Enhanced ability to distinguish tags based on pulse duration.

Potential for increased IoT network scalability and reduced maintenance.

Abstract

We present metasurface-inspired maintenance-free IoT tags that can be characterised not only by frequency-domain profiles but also by time-domain profiles. In particular, time-domain characterisation is made possible by implementing the waveform-selective mechanisms of recently developed circuit-based metasurfaces that behave differently, even at the same frequency, in accordance with the pulse duration of the incident wave. Our designs are numerically and experimentally validated and potentially contribute to accommodating an increasing number of IoT tags within a single wireless network while reducing maintenance effort.