A scalable human body channel modeling technique for networked body implants

  • Authors:
  • Aftab Ahmad

  • Affiliations:
  • Norfolk State University, Norfolk VA

  • Venue:
  • BodyNets '13 Proceedings of the 8th International Conference on Body Area Networks
  • Year:
  • 2013

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Abstract

We describe an approach to modeling human body as a transmission medium for applications in implantable, networked sensors. The model is customizable, flexible and lends itself to digital computer simulation. The model views the human body as consisting of cubes (elements) of constant size. Each element is composed of a finite number of materials with composition profiles of materials assumed to be known. The proposed model does not require that all material types should have similar attenuation and fading distributions. The model can be applied to coarse or fine grained power requirements of implanted sensor network.