• DocumentCode
    30513
  • Title

    No Battery Required: Perpetual RFID-Enabled Wireless Sensors for Cognitive Intelligence Applications

  • Author

    Sangkil Kim ; Mariotti, Chiara ; Alimenti, F. ; Mezzanotte, P. ; Georgiadis, Anthimos ; Collado, Ana ; Roselli, Luca ; Tentzeris, Manos M.

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
  • Volume
    14
  • Issue
    5
  • fYear
    2013
  • fDate
    July-Aug. 2013
  • Firstpage
    66
  • Lastpage
    77
  • Abstract
    Over the last decade, radio frequency identification (RFID) systems have been increasingly used for identification and object tracking due to their low-power, low-cost wireless features. In addition, the explosive demand for ubiquitous rugged low-power, compact wireless sensors for Internet-of-Things, ambient intelligence, and biomonitoring/ quality-of-life application has sparked a plethora of research efforts to integrate sensors with an RFID-enabled platform. The rapid evolution of large-area electronics printing technologies (e.g., ink-jet printing and gravure printing) has enhanced the development of low-cost RFID-enabled sensors as well as accelerated their large-scale deployment. This article presents a brief overview of the recent progress in the area of RFID-based sensor systems and especially the state-of-the-art RFID-enabled wireless sensor tags realized through the use of ink-jet printing technology.
  • Keywords
    Internet of Things; ink jet printing; object tracking; radiofrequency identification; wireless sensor networks; Internet-of-Things; RFID-enabled sensors; ambient intelligence; biomonitoring; compact wireless sensors; gravure printing; identification tracking; ink-jet printing; large-area electronics printing technology; large-scale deployment; low-cost wireless features; low-power features; object tracking; quality-of-life application; radiofrequency identification; ubiquitous rugged low-power sensors; wireless sensor tags; Batteries; Cognitive intelligence; Intelligent sensors; Radiofrequency identification; Substrates; Wireless sensor networks;
  • fLanguage
    English
  • Journal_Title
    Microwave Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    1527-3342
  • Type

    jour

  • DOI
    10.1109/MMM.2013.2259398
  • Filename
    6556093