The detailed design considerations for the printed RFID-based sensor system is presented in this paper. Starting from material selection and metallization method, this paper discusses types of RFID-based sensors (single- & dual-tag sensor topologies), design procedures, and performance evaluation methods for the wireless sensor system. The electrical properties of the paper substrates (cellulose-based and synthetic papers) and the silver nano-particle-based conductive film are thoroughly characterized for RF applications up to 8 GHz. The reported technology could potentially set the foundation for truly “green”, low-cost, scalable wireless topologies for autonomous Internet-of-Things (IoT), bio-monitoring, and “smart skin” applications.
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http://dx.doi.org/10.3390/s18061958 | DOI Listing |
IEEE Sens J
February 2024
Electrical and Computer Engineering, Drexel University, Philadelphia, PA 19104 USA.
Ultra high frequency (UHF) passive radio frequency identification (RFID) tag-based sensors are proposed for intravenous (IV) fluid level monitoring in medical Internet of Things (IoT) applications. Two versions of the sensor are proposed: a binary sensor (i.e.
View Article and Find Full Text PDFSensors (Basel)
May 2024
Electrical Engineering Department, Frederick University, Nicosia 1036, Cyprus.
This manuscript presents the use of three novel technologies for the implementation of wireless green battery-less sensors that can be used in agriculture. The three technologies, namely, additive manufacturing, energy harvesting, and wireless power transfer from airborne transmitters carried from UAVs, are considered for smart agriculture applications, and their combined use is demonstrated in a case study experiment. Additive manufacturing is exploited for the implementation of both RFID-based sensors and passive sensors based on humidity-sensitive materials.
View Article and Find Full Text PDFSensors (Basel)
March 2024
Department of Electrical and Electronic Engineering, University of Manchester, Manchester M13 9PL, UK.
Radio frequency identification (RFID) is well known as an identification, track, and trace approach and is considered to be the key physical layer technology for the industrial internet of things (IIoT). However, IIoT systems have to introduce additional complex sensor networks for pervasive monitoring, and there are still challenges related to item-level sensing and data recording. To overcome the shortage, this work proposes an artificial intelligence (AI)-assisted RFID-based multi-sensing technology.
View Article and Find Full Text PDFSci Rep
March 2024
North China Electric Power University, Library, Beijing, 102206, People's Republic of China.
Heliyon
February 2024
Department of Electrical Engineering, National University of Sciences and Technology, Islamabad 46000, Pakistan.
This research presents the design and implementation of a chipless Radio Frequency Identification (RFID) multi-sensor tag on a flexible laminate. Along with the tag's primary function of data encoding for object identification purposes, the tag also incorporates moisture and temperature sensing functionalities within a compact size measuring a mere 15 × 16 mm. The tag structure comprises of a total 29 resonators, with each resonator corresponding to one bit in the microwave response.
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