• DocumentCode
    189668
  • Title

    Performance assessment of an enhanced RFID sensor tag for long-run sensing applications

  • Author

    Merenda, Massimo ; Farris, Ivan ; Felini, Corrado ; Militano, Leonardo ; Spinella, Silverio Carlo ; Della Corte, Francesco G. ; Iera, Antonio

  • Author_Institution
    DIIES, Univ. Mediterranea of Reggio Calabria, Reggio Calabria, Italy
  • fYear
    2014
  • fDate
    2-5 Nov. 2014
  • Firstpage
    738
  • Lastpage
    741
  • Abstract
    In this paper we present a battery-less RFID sensor tag, operating at 868 MHz, characterized by a novel impedance matching, guaranteeing improvements in terms of wireless energy transfer efficiency. A more efficient energy transfer is of high interest for several applications and, in particular, for a reduced recharging time of the embedded capacitor. This represents a fundamental step to enlarge the range of applications usually limited to classic wireless sensor networks, such as data logging or environmental sensing in large spaces. Challenges related to energy replenishment and data collection should be taken into account to enable an effective deployment of large networks. In particular, we investigate on the number of mobile readers moving around a sensing network to gather data and transfer energy, such that all nodes are kept alive and all data is collected. The improvements introduced by the new RFID sensor tag for this application will be evaluated with respect to state-of-the-art devices.
  • Keywords
    impedance matching; radiofrequency identification; wireless sensor networks; battery-less RFID sensor tag; data logging; embedded capacitor; environmental sensing; frequency 868 MHz; impedance matching; long-run sensing applications; wireless energy transfer efficiency; wireless sensor networks; Capacitors; Mathematical model; Mobile communication; Radio frequency; Radiofrequency identification; Wireless sensor networks; RFID; impedance matching; rechargeable sensor networks; sensor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SENSORS, 2014 IEEE
  • Conference_Location
    Valencia
  • Type

    conf

  • DOI
    10.1109/ICSENS.2014.6985105
  • Filename
    6985105