• DocumentCode
    2353550
  • Title

    Modeling Propagation Characteristics for Arm-Motion in Wireless Body Area Sensor Networks

  • Author

    Ain, Q. ; Ikram, Amna ; Javaid, Nadeem ; Qasim, U. ; Khan, Zahoor Ali

  • Author_Institution
    Dept. of Electr. Eng., COMSATS Inst. of Inf. Technol., Islamabad, Pakistan
  • fYear
    2012
  • fDate
    12-14 Nov. 2012
  • Firstpage
    186
  • Lastpage
    191
  • Abstract
    To monitor health information using wireless sensors on body is a promising new application. Human body acts as a transmission channel in wearable wireless devices, so electromagnetic propagation modeling is well thought-out for transmission channel in Wireless Body Area Sensor Network (WBASN). In this paper we have presented the wave propagation in WBASN which is modeled as point source (Antenna), close to the arm of the human body. Four possible cases are presented, where transmitter and receiver are inside or outside of the body. Dyadic Green´s function is specifically used to propose a channel model for arm motion of human body model. This function is expanded in terms of vector wave function and scattering superposition principle. This paper describes the analytical derivation of the spherical electric field distribution model and the simulation of those derivations.
  • Keywords
    Green´s function methods; body area networks; body sensor networks; health care; arm-motion; dyadic Green function; health information; human body acts; modeling propagation characteristics; point source; transmission channel; wireless body area sensor networks; Biological system modeling; Equations; Mathematical model; Receivers; Scattering; Transmitters; Vectors; Dyadic Greens Function; Wireless Body Area Networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Broadband, Wireless Computing, Communication and Applications (BWCCA), 2012 Seventh International Conference on
  • Conference_Location
    Victoria, BC
  • Print_ISBN
    978-1-4673-2972-9
  • Type

    conf

  • DOI
    10.1109/BWCCA.2012.38
  • Filename
    6363053