Characterization and modeling of dynamic on-body propagation

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

3d International ICST Conference on Pervasive Computing Technologies for Healthcare

Research Article

Characterization and modeling of dynamic on-body propagation

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@INPROCEEDINGS{10.4108/ICST.PERVASIVEHEALTH2009.5945,
    author={Bin Zhen and Minseok Kim and Jun-ichi Takada and Ryuji Kohno},
    title={Characterization and modeling of dynamic on-body propagation},
    proceedings={3d International ICST Conference on Pervasive Computing Technologies for Healthcare},
    proceedings_a={PERVASIVEHEALTH},
    year={2009},
    month={8},
    keywords={body area networks on-body propagation channel characterization},
    doi={10.4108/ICST.PERVASIVEHEALTH2009.5945}
}

Bin Zhen
Minseok Kim
Jun-ichi Takada
Ryuji Kohno
Year: 2009
Characterization and modeling of dynamic on-body propagation
PERVASIVEHEALTH
ICST
DOI: 10.4108/ICST.PERVASIVEHEALTH2009.5945

Bin Zhen¹^,*, Minseok Kim², Jun-ichi Takada², Ryuji Kohno¹

1: National Institute of Information and Communications Technology, 3-4 Hikarino-oka, Yokosuka, 239-0847, Japan
2: Tokyo Institute of Technology, S6-4, 2-12-1, O-okayama, Meguro-ku, Tokyo 152-8550, Japan

*Contact email: zhen.bin@nict.go.jp

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: body area networks on-body propagation channel characterization

Published: 2009-08-04

: http://dx.doi.org/10.4108/ICST.PERVASIVEHEALTH2009.5945