SAR Computation and Channel Modeling of Body Area Network

Yu Pang; Qian Lei; Jinzhao Lin; Zhiyong Luo; Zhangyong Li; Zeljko Zilic; Katarzyna Radecka

8th International Conference on Body Area Networks

Research Article

SAR Computation and Channel Modeling of Body Area Network

Cite: BibTeX Plain Text

@INPROCEEDINGS{10.4108/icst.bodynets.2013.253920,
    author={Yu Pang and Qian Lei and Jinzhao Lin and Zhiyong Luo and Zhangyong Li and Zeljko Zilic and Katarzyna Radecka},
    title={SAR Computation and Channel Modeling of Body Area Network},
    proceedings={8th International Conference on Body Area Networks},
    publisher={ICST},
    proceedings_a={BODYNETS},
    year={2013},
    month={10},
    keywords={body area network; sar; channel model; path loss},
    doi={10.4108/icst.bodynets.2013.253920}
}

Yu Pang
Qian Lei
Jinzhao Lin
Zhiyong Luo
Zhangyong Li
Zeljko Zilic
Katarzyna Radecka
Year: 2013
SAR Computation and Channel Modeling of Body Area Network
BODYNETS
ACM
DOI: 10.4108/icst.bodynets.2013.253920

Yu Pang¹^,*, Qian Lei¹, Jinzhao Lin¹, Zhiyong Luo¹, Zhangyong Li¹, Zeljko Zilic², Katarzyna Radecka²

1: Chongqing University of Posts and telecommunications
2: McGill University

*Contact email: pangyu@cqupt.edu.cn

Abstract

Body Area Network (BANs) is of importance for telemedicine and telehealth services. Since the wireless sensor nodes adhere to the human body surface, the human body unavoidably absorbs the electromagnetic wave which may be harmful, so investigating the specific absorption rate becomes significant in exploration of BANs. Additionally, the BAN channel is different with the common wireless channel. In this paper, we propose a method to compute SAR values in different frequency bands and provide theoretical analysis for the BAN channel. A path loss model is constructed to represent the wireless channel.

Keywords: body area network; sar; channel model; path loss

Published: 2013-10-29
Publisher: ICST

: http://dx.doi.org/10.4108/icst.bodynets.2013.253920