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A wireless temperature sensor powered by a piezoelectric resonant energy harvesting system

  • Peng Wang
  • , Robert Gray
  • , Zenghui Wang
  • , Philip X.L. Feng

Producción científica: Conference contribution › revisión exhaustiva

5 Citas (Scopus)

Resumen

We report on experimental demonstration of a wireless temperature sensor node (WTSN) powered by a piezoelectric resonant energy harvesting system. The energy harvesting circuit stores the energy generated by a piezoelectric resonant transducer into a capacitor, and uses the stored energy to power the temperature sensor and its associated signal processing circuits for wireless signal transmission. The main functions of the harvesting system are implemented by discrete components together with a power management application specific integrated circuit (ASIC). The resulting WTSN transmits measured temperature data over a distance of 10m, in real time, and consumes ∼4μW to ∼13μW power (for transmission intervals from 10min to 10s, respectively), which is supplied entirely by the piezoelectric resonant energy harvester.

Idioma originalEnglish
Título de la publicación alojada2015 Joint Conference of the IEEE International Frequency Control Symposium and the European Frequency and Time Forum, FCS 2015 - Proceedings
Páginas316-319
Número de páginas4
ISBN (versión digital)9781479988662
DOI
EstadoPublished - jun 29 2015
Evento2015 Joint Conference of the IEEE International Frequency Control Symposium and the European Frequency and Time Forum, FCS 2015 - Denver, United States
Duración: abr 12 2015 → abr 16 2015

Serie de la publicación

Nombre2015 Joint Conference of the IEEE International Frequency Control Symposium and the European Frequency and Time Forum, FCS 2015 - Proceedings

Conference

Conference2015 Joint Conference of the IEEE International Frequency Control Symposium and the European Frequency and Time Forum, FCS 2015
País/TerritorioUnited States
CiudadDenver
Período4/12/15 → 4/16/15

Nota bibliográfica

Publisher Copyright:
© 2015 IEEE.

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing

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