• DocumentCode
    496232
  • Title

    Characterization and modeling of dynamic on-body propagation

  • Author

    Bin Zhen ; Kim, Minseok ; Takada, Jun-ichi ; Kohno, Ryuji

  • Author_Institution
    Nat. Inst. of Inf. & Commun. Technol., Yokosuka, Japan
  • fYear
    2009
  • fDate
    1-3 April 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    On-body communication channels are of increasing interest as more and more wireless devices are wearable in medical, military, and personal communication applications. This paper presents an experimental investigation of the dynamic feature of on-body channel due to the movement of human body. Statistical analyses, including level crossing rate, fading duration, and fading interval were conducted. Based on the analyses, a three-state Fritchman model that considers the channel dwelling time is proposed to describe the dynamic characteristic of on-body channel. The channel is classified as unstable good state, constant good state, and bad state. The parameters of the Fritchman model are estimated from the measured data.
  • Keywords
    biomedical communication; body area networks; fading channels; military communication; statistical analysis; Fritchman model; dynamic on-body propagation; fading duration; fading interval; human body movement; level crossing rate; medical communication; military communication; on-body communication channels; personal communication; statistical analysis; wireless devices; Anechoic chambers; Antenna measurements; Biological system modeling; Communications technology; Distortion measurement; Fading; Frequency; Humans; Receiving antennas; Testing; body area networks; channel characterization; on-body propagation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pervasive Computing Technologies for Healthcare, 2009. PervasiveHealth 2009. 3rd International Conference on
  • Conference_Location
    London
  • Print_ISBN
    978-963-9799-42-4
  • Electronic_ISBN
    978-963-9799-30-1
  • Type

    conf

  • DOI
    10.4108/ICST.PERVASIVEHEALTH2009.5945
  • Filename
    5191232