Meta-material Sensors based Internet of Things for 6G Communications

TL;DR

This paper introduces a novel meta-material based IoT sensing system for 6G that enables power-free sensing and transmission, significantly improving sensing accuracy through optimized design and algorithms.

Contribution

It proposes a meta-material based IoT sensor design that eliminates power needs and introduces algorithms for optimizing sensing and transmission accuracy.

Findings

Sensing accuracy is significantly improved with the proposed algorithms.

Meta-IoT sensors can perform sensing and transmission simultaneously without power supplies.

Simulation results validate the effectiveness of the optimized meta-IoT system.

Abstract

In the coming 6G communications, the internet of things (IoT) serves as a key enabler to collect environmental information and is expected to achieve ubiquitous deployment. However, it is challenging for traditional IoT sensors to meet this expectation because of their requirements of power supplies and frequent maintenance, which are due to their power-demanding sense and transmit modules. To address this challenge, we propose a meta-IoT sensing system, where the IoT sensors are based on specially designed meta-materials. The meta-IoT sensors achieve simultaneous sensing and transmission by physical reflection and require no power supplies. In order to design a meta-IoT sensing system with optimal sensing accuracy, we jointly consider the sensing and transmission of meta-IoT sensors and propose efficient algorithms to optimize the meta-IoT structure and the sensing function at the receiver. As an example, we apply the meta-IoT system to sensing environmental temperature and humidity levels. Simulation results show that by using the proposed algorithm, the sensing accuracy can be largely increased.