• DocumentCode
    645110
  • Title

    Modeling of RF energy scavenging for batteryless wireless sensors with low input power

  • Author

    Yan Wu ; Linnartz, Jean-Paul ; Hao Gao ; Matters-Kammerer, Marion K. ; Baltus, P.

  • Author_Institution
    Dept. of Electr. Eng., Eindhoven Univ. of Technol. (TU/e), Netherlands
  • fYear
    2013
  • fDate
    8-11 Sept. 2013
  • Firstpage
    527
  • Lastpage
    531
  • Abstract
    RF energy scavenging enables batteryless operation of wireless sensors. In particular, a system with a central controller that transfers wireless energy to and exchanges information with RF energy scavenging sensors is very suitable for a wide range of applications. State-of-the-art analysis of RF energy scavenging is mostly based on RF-DC rectifier models operating with relatively high input power to achieve high rectification efficiency. However, to enable larger distance between the central controller and sensors and/or to increase the operating frequencies, which can lead to small and low-cost smart dust like sensors, a good model describing the RF-DC rectification with low input power is needed to aid system design and optimization. In this paper, we develop such a model. Using the model, we derive closed-form solutions for the equilibrium voltage and the input resistance of the rectifier. We further propose a quasi-static model to describe the dynamic charging of the capacitor in the rectifier. A comparison with circuit simulations using Cadence Virtuoso Spectre circuit simulator shows good match between our model and the circuit simulation.
  • Keywords
    capacitors; energy harvesting; rectifiers; telecommunication power supplies; wireless sensor networks; Cadence Virtuoso Spectre circuit simulator; RF energy scavenging modeling; RF energy scavenging sensors; RF-DC rectification; RF-DC rectifier models; batteryless wireless sensors; capacitor; central controller; circuit simulation; circuit simulations; closed-form solutions; equilibrium voltage; input resistance; low input power; low-cost smart dust; quasi-static model; rectification efficiency; rectifier; Energy harvesting; Integrated circuit modeling; Radio frequency; Resistance; Sensors; Wireless communication; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Personal Indoor and Mobile Radio Communications (PIMRC), 2013 IEEE 24th International Symposium on
  • Conference_Location
    London
  • ISSN
    2166-9570
  • Type

    conf

  • DOI
    10.1109/PIMRC.2013.6666193
  • Filename
    6666193