A passive wireless sensor network for temperature mapping inside a shielded coaxial enclosure
López-Soriano, Sergio (Universitat Autònoma de Barcelona. Departament de Telecomunicació i Enginyeria de Sistemes)
Spassovsky, Ivan (Agenzia nazionale per le nuove tecnologie, l'energia e lo sviluppo economico sostenibile)
Parrón Granados, Josep (Universitat Autònoma de Barcelona. Departament de Telecomunicació i Enginyeria de Sistemes)
Marrocco, Gaetano (Università di Roma Tor Vergata)

Data:	2018
Resum:	This contribution addresses the electromagnetic feasibility of the wireless temperature monitoring inside a coaxial cavity resembling a portion of a high-power high-frequency cyclotron auto-resonance maser for plasma heating in the new generation of DEMO TOKAMAK machines. The scenario is investigated as a potential communication channel for a ultrahigh-frequency radiofrequency identification (RFID) sensor network where cavity probes are used to both excite the coaxial cavity and to collect the temperature data scattered back by sensor antennas. By using a theoretical near-field analysis of a simplified model of the cavity and of the reader/sensor devices it is demonstrated that a two-probes architecture is suitable to interact with more than N = 16 equally spaced RFID temperature sensors (having power sensitivity of -8. 3 dB mW) over the surface of a 0. 5 m tube by using less than 20 dB mW power emitted by the reader. The theoretical results are corroborated by experimental data with a mock-up of the cavity and realistic prototypes of miniaturized RFID radio-sensors and excitation probes.
Ajuts:	Ministerio de Economía y Competitividad TEC2015-69229-R
Drets:	Tots els drets reservats.
Llengua:	Anglès
Document:	Article ; recerca ; Versió acceptada per publicar
Matèria:	Wireless RFID sensor network ; Backscattering modulation ; Electron vacuum tubes ; Temperature mapping
Publicat a:	IEEE journal of radio frequency identification, Vol. 2, Issue 3 (September 2018) , p. 144-151, ISSN 2469-7281

DOI: 10.1109/JRFID.2018.2860049

Postprint 10 p, 3.3 MB

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