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Special Issue "Augmented RFID Technologies for the Internet of Things and Beyond"

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Internet of Things".

Deadline for manuscript submissions: 31 October 2019.

Special Issue Editors

Guest Editor
Prof. Luciano Tarricone

Department of Engineering for Innovation, University of Salento, Lecce, Italy
Website | E-Mail
Interests: RFID systems; tag-based sensors; RFID solutions for bioelectromagnetics; wireless power transmission and its biomedical applications
Guest Editor
Dr. Jasmin Grosinger

Institute of Microwave and Photonics Engineering, Graz University of Technology, Graz, Austria
Website | E-Mail
Interests: RFID technologies; tag localization; tag miniaturization; sensor tags; antennas; wave propagation; radio frequency engineering

Special Issue Information

Dear Colleagues,

With the availability of inexpensive, low-power integrated circuits since the early 1990s, considerable research and development efforts have been invested in the area of RFID systems for ID purposes. More recently, researchers have been working consistently towards the goal of reaching beyond the ID in RFID, i.e., by integrating sensing capabilities in RFID tags to additionally monitor the tag environment, such as the temperature, curvature, or liquid level. Important results have been achieved in terms of cost reduction, miniaturization, and compatibility with complex systems and technologies. Meanwhile, pervasive and affordable computing and communication technologies have opened challenging scenarios for the Internet-of-Things (IoT), with its manifold implications and constant growth of applications, bringing technology more and more into daily life, and even inside living systems. Some crucial points have emerged, such as security, connectivity, sustainability, and compatibility with living systems. In this framework, this Special Issue calls for contributions presenting the latest research results on RFID technologies that push the state-of-the-art to move beyond the ID in RFID, to enhance the IoT, and to pave the way for its future steps.

Prof. Luciano Tarricone
Dr. Jasmin Grosinger
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • High frequency (HF) RFID
  • Near-field communication (NFC) technology
  • Ultra-high-frequency RFID technology
  • Backscatter technology: narrowband, wideband, ultra-wideband
  • Chipless tags
  • Antenna technologies for RFID systems
  • RFID in eHealth, inside living bodies, in biomedical applications
  • RFID and security
  • RFID in and for the Internet of Things

Published Papers (3 papers)

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Research

Open AccessArticle
Super-Wide Impedance Bandwidth Planar Antenna for Microwave and Millimeter-Wave Applications
Sensors 2019, 19(10), 2306; https://doi.org/10.3390/s19102306
Received: 17 April 2019 / Revised: 14 May 2019 / Accepted: 17 May 2019 / Published: 19 May 2019
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Abstract
A feasibility study of a novel configuration for a super-wide impedance planar antenna is presented based on a 2 × 2 microstrip patch antenna (MPA) using CST Microwave Studio. The antenna comprises a symmetrical arrangement of four-square patches that are interconnected to each [...] Read more.
A feasibility study of a novel configuration for a super-wide impedance planar antenna is presented based on a 2 × 2 microstrip patch antenna (MPA) using CST Microwave Studio. The antenna comprises a symmetrical arrangement of four-square patches that are interconnected to each other with cross-shaped high impedance microstrip lines. The antenna array is excited through a single feedline connected to one of the patches. The proposed antenna array configuration overcomes the main drawback of conventional MPA with a narrow bandwidth that is typically <5%. The antenna exhibits a super-wide frequency bandwidth from 20 GHz to 120 GHz for S11 < −15 dB, which corresponds to a fractional bandwidth of 142.85%. The antenna’s performance of bandwidth, impedance match, and radiation gain were enhanced by etching slots on the patches. With the inclusion of the slot, the maximum radiation gain and efficiency of the MPA increased to 15.11 dBi and 85.79% at 80 GHz, which showed an improvement of 2.58 dBi and 12.54%, respectively. The dimension of each patch antenna was 4.3 × 5.3 mm2. The results showed that the proposed MPA is useful for various existing and emerging communication systems such as ultra-wideband (UWB) communications, RFID systems, massive multiple-output multiple-input (MIMO) for 5G, and radar systems. Full article
(This article belongs to the Special Issue Augmented RFID Technologies for the Internet of Things and Beyond)
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Open AccessFeature PaperArticle
Wirelessly Powered Light and Temperature Sensors Facilitated by Electrically Small Omnidirectional and Huygens Dipole Antennas
Sensors 2019, 19(9), 1998; https://doi.org/10.3390/s19091998
Received: 31 March 2019 / Revised: 22 April 2019 / Accepted: 25 April 2019 / Published: 29 April 2019
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Abstract
Wirelessly powered, very compact sensors are highly attractive for many emerging Internet-of-things (IoT) applications; they eliminate the need for on-board short-life and bulky batteries. In this study, two electrically small rectenna-based wirelessly powered light and temperature sensors were developed that operate at 915 [...] Read more.
Wirelessly powered, very compact sensors are highly attractive for many emerging Internet-of-things (IoT) applications; they eliminate the need for on-board short-life and bulky batteries. In this study, two electrically small rectenna-based wirelessly powered light and temperature sensors were developed that operate at 915 MHz in the 902–928-MHz industrial, scientific, and medical (ISM) bands. First, a metamaterial-inspired near-field resonant parasitic (NFRP) Egyptian axe dipole (EAD) antenna was seamlessly integrated with a highly efficient sensor-augmented rectifier without any matching network. It was electrically small and very thin, and its omnidirectional property was ideal for capturing incident AC wireless power from any azimuthal direction and converting it into DC power. Both a photocell as the light sensor and a thermistor as the temperature sensor were demonstrated. The resistive properties of the photocell and thermistor changed the rectifier’s output voltage level; an acoustic alarm was activated once a threshold value was attained. Second, an electrically small, low-profile NFRP Huygens antenna was similarly integrated with the same light- and temperature-sensor-augmented rectifiers. Their unidirectional nature was very suitable for surface-mounted wireless power transfer (WPT) applications (i.e., on-body and on-wall sensors). Measurements of the prototypes of both the light- and temperature-sensor-augmented omni- and unidirectional rectenna systems confirmed their predicted performance characteristics. Full article
(This article belongs to the Special Issue Augmented RFID Technologies for the Internet of Things and Beyond)
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Open AccessArticle
IKULDAS: An Improved kNN-Based UHF RFID Indoor Localization Algorithm for Directional Radiation Scenario
Sensors 2019, 19(4), 968; https://doi.org/10.3390/s19040968
Received: 29 January 2019 / Revised: 16 February 2019 / Accepted: 18 February 2019 / Published: 25 February 2019
PDF Full-text (3957 KB) | HTML Full-text | XML Full-text
Abstract
Ultra high frequency radio frequency identification (UHF RFID)-based indoor localization technology has been a competitive candidate for context-awareness services. Previous works mainly utilize a simplified Friis transmission equation for simulating/rectifying received signal strength indicator (RSSI) values, in which the directional radiation of tag [...] Read more.
Ultra high frequency radio frequency identification (UHF RFID)-based indoor localization technology has been a competitive candidate for context-awareness services. Previous works mainly utilize a simplified Friis transmission equation for simulating/rectifying received signal strength indicator (RSSI) values, in which the directional radiation of tag antenna and reader antenna was not fully considered, leading to unfavorable performance degradation. Moreover, a k-nearest neighbor (kNN) algorithm is widely used in existing systems, whereas the selection of an appropriate k value remains a critical issue. To solve such problems, this paper presents an improved kNN-based indoor localization algorithm for a directional radiation scenario, IKULDAS. Based on the gain features of dipole antenna and patch antenna, a novel RSSI estimation model is first established. By introducing the inclination angle and rotation angle to characterize the antenna postures, the gains of tag antenna and reader antenna referring to direct path and reflection paths are re-expressed. Then, three strategies are proposed and embedded into typical kNN for improving the localization performance. In IKULDAS, the optimal single fixed rotation angle is introduced for filtering a superior measurement and an NJW-based algorithm is advised for extracting nearest-neighbor reference tags. Furthermore, a dynamic mapping mechanism is proposed to accelerate the tracking process. Simulation results show that IKULDAS achieves a higher positioning accuracy and lower time consumption compared to other typical algorithms. Full article
(This article belongs to the Special Issue Augmented RFID Technologies for the Internet of Things and Beyond)
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