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Antennas on Paper Using Ink-Jet Printing of Nano-Silver Particles for Wireless Sensor Networks in Train Environment
Angstrom Laboratory, Division of Solid-State Electronics, Uppsala University, Uppsala, Sweden .
Mid Sweden University, Faculty of Science, Technology and Media, Department of Electronics Design.
Mid Sweden University, Faculty of Science, Technology and Media, Department of Electronics Design.
Angstrom Laboratory, Division of Solid-State Electronics, Uppsala University, Uppsala, Sweden .
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2016 (English)In: Microwave and optical technology letters (Print), ISSN 0895-2477, E-ISSN 1098-2760, Vol. 58, no 4, p. 754-759Article in journal (Refereed) Published
Abstract [en]

This article presents the design, manufacturing, and measurements of antennas on paper, realized using ink-jet printing of conductive inks based on nano-silver particles (nSPs). The extraction of the substrate characteristics such as the dielectric constant and dielectric loss is performed using a printed ring resonator technique. The characterization of the nSPs conductive inks assesses different parameters as sintering time and temperature. Two antennas are realized corresponding to the most common needs for wireless sensor networks in Trains Environment. The first one is a patch antenna characterized by a broadside radiation pattern and suited for operation on metallic structures. The second one is a quasi-yagi antenna, with an end fire radiation pattern and higher directivity, without requiring a metallic ground plane. Both antennas present a good matching (S11 < -20 dB and S11 < -30 dB, respectively) and acceptable efficiency (55% and 45%, respectively) for the paper substrate used at the center frequency of 2.4 GHz, corresponding to the first channel of the IEEE 802.15.4 band.

Place, publisher, year, edition, pages
2016. Vol. 58, no 4, p. 754-759
Keywords [en]
ink-jet printing, nano-silver particles, paper antennas, wireless sensor network
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:miun:diva-26842DOI: 10.1002/mop.29665ISI: 000371423300005Scopus ID: 2-s2.0-84959421234Local ID: STCOAI: oai:DiVA.org:miun-26842DiVA, id: diva2:891694
Available from: 2016-01-07 Created: 2016-01-07 Last updated: 2021-01-25Bibliographically approved

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Moossaavi, RezaSidén, Johan

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