Humidity sensor based on perfect metamaterial absorber

Ni, Bo; Wang, Z. Y.; Zhao, Rui; Y., X.; Xing, Ziling; Yang, Lingsheng; Huang, Lujun; Lin, Yuanyuan; Zhang, D. B.

doi:10.1109/nusod.2016.7547014

Cited by 5 publications

(2 citation statements)

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“…In objective function (7), N C is the number of considered condition vectors, N M denotes the number of measurement given each condition, c j indicates the j-th considered condition vector, and cj,m is the estimated condition vector for the mth measurement at c j . Constraint (8) indicates that the N M • N C measurements at N C conditions constitute the data set to minimize the RMSE of the system, where p j,m denotes the m-th received power vector at c j .…”

Section: Simultaneous Sensing and Design Problem For Meta-iot Sensorsmentioning

confidence: 99%

“…In [6], the authors proposed a meta-material temperature sensor with a double SRR, which can sense temperature levels in harsh high-temperature environments. In [7], the authors designed a humidity sensor based on perfect meta-material absorber. Moreover, in [8], the authors utilized metamaterials to design an enhanced passive humidity sensors.…”

Section: Introductionmentioning

confidence: 99%

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

Hu¹,

Zhang²,

Di³

et al. 2021

Preprint

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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 demand because of their requirement of power supplies and frequent maintenance, which is due to their sense-thentransmit working principle. 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 and thus 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 an efficient algorithm to jointly optimizes the meta-IoT structure and the sensing function at the receiver of the system. As an example, we apply the proposed system and algorithm in sensing environmental temperature and humidity levels. Simulation results show that by using the proposed algorithm, the sensing accuracy can be significantly increased.

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Section: Simultaneous Sensing and Design Problem For Meta-iot Sensorsmentioning

confidence: 99%