In this work, two solutions for the design and fabrication of fully-textile chipless tags are presented. The first relies on associating the data with the resonance frequency of resonant devices: the presence/absence of the resonance peaks in the |S21| of a set of resonators are used to encode a string of bits. The second solution resorts to a frequency-shift coding technique and on the use of a hairpin resonator. Numerical and experimental results demonstrate the reliability of the proposed solutions. The final goal is to develop wearable, chipless electronics that could be used, for example, in radio-frequency identification or sensing in industrial IoT applications.

Radio-frequency Identification Based on Textile, Wearable, Chipless Tags for IoT Applications / Corchia, L.; De Benedetto, E.; Monti, G.; Cataldo, A.; Angrisani, L.; Arpaia, P.; Tarricone, L.. - Unico:(2019), pp. 1-5. (Intervento presentato al convegno 2019 IEEE International Workshop on Metrology for Industry 4.0 and IoT, MetroInd 4.0 and IoT 2019 tenutosi a Napoli nel 4-6 giugno 2019) [10.1109/METROI4.2019.8792919].

Radio-frequency Identification Based on Textile, Wearable, Chipless Tags for IoT Applications

E. De Benedetto;L. Angrisani;P. Arpaia;
2019

Abstract

In this work, two solutions for the design and fabrication of fully-textile chipless tags are presented. The first relies on associating the data with the resonance frequency of resonant devices: the presence/absence of the resonance peaks in the |S21| of a set of resonators are used to encode a string of bits. The second solution resorts to a frequency-shift coding technique and on the use of a hairpin resonator. Numerical and experimental results demonstrate the reliability of the proposed solutions. The final goal is to develop wearable, chipless electronics that could be used, for example, in radio-frequency identification or sensing in industrial IoT applications.
2019
978-172810429-4
Radio-frequency Identification Based on Textile, Wearable, Chipless Tags for IoT Applications / Corchia, L.; De Benedetto, E.; Monti, G.; Cataldo, A.; Angrisani, L.; Arpaia, P.; Tarricone, L.. - Unico:(2019), pp. 1-5. (Intervento presentato al convegno 2019 IEEE International Workshop on Metrology for Industry 4.0 and IoT, MetroInd 4.0 and IoT 2019 tenutosi a Napoli nel 4-6 giugno 2019) [10.1109/METROI4.2019.8792919].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/767888
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