Wireless Power Transfer (WPT) Enabled IoT Sensors Based on Ultra-Thin Electrically Small Antennas

Wei Lin, Richard W. Ziolkowski

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Wireless power transfer (WPT) enabled Internet-of-Things (IoT) temperature and light sensors based on two ultra-thin electrically small antennas are reported. Two distinctive wireless power capture capabilities are realized with metamaterial-inspired electrically small antennas. The near-field resonant parasitic (NFRP) element-based Egyptian Axe Dipole (EAD) antenna realizes an omnidirectional pattern. The Huygens dipole antenna, which combines a balanced pair of EAD and capacitively loaded loop (CLL) NFRP elements, realizes a unidirectional pattern. A sensor-augmented rectifier circuit is developed and seamlessly integrated with these antennas. Both of these systems are ultra-thin, being printed on a single piece of PCB substrate. The compact IoT temperature and light detection sensors were successfully implemented and tested. Since these high performance WPT-powered sensors are battery-free, they are very attractive for a variety of IoT applications.

Original languageEnglish (US)
Title of host publication15th European Conference on Antennas and Propagation, EuCAP 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9788831299022
DOIs
StatePublished - Mar 22 2021
Externally publishedYes
Event15th European Conference on Antennas and Propagation, EuCAP 2021 - Dusseldorf, Germany
Duration: Mar 22 2021Mar 26 2021

Publication series

Name15th European Conference on Antennas and Propagation, EuCAP 2021

Conference

Conference15th European Conference on Antennas and Propagation, EuCAP 2021
Country/TerritoryGermany
CityDusseldorf
Period3/22/213/26/21

Keywords

  • Electrically small antenna
  • Huygens antenna
  • Internet-of-Things (IoT
  • rectenna
  • sensor
  • wireless power transfer (WPT)

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing
  • Instrumentation

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