Body Surface to External Channel Modeling

Yi Huai Yang; Li Fang Wang; Dong Ya Shen; Miao Yang

doi:10.4028/www.scientific.net/AMR.989-994.4111

Paper Titles

A New Way to Optimize LDPC Code in Multiple Access Channel
p.4095

A Study and Design of Compressed Encoder Based on Neural Network for Remote Sensing Image
p.4100

A New Method of Image Matching in a Vision-Based Mobile Robot System
p.4104

The Research of Starry-Sky Image Bright Stray Light Background Suppression Method
p.4107

Body Surface to External Channel Modeling
p.4111

Research and Solution on Bottleneck Problem in Zigbee
p.4115

A Image Decomposition Method Based on Euler Mapping for Face Recognition
p.4119

Color Space Comparison between RGB and HSV Based Images Retrieval
p.4123

Blind Detection of Copy-Move Forgery in Digital Images Based on Dyadic Wavelet Transform
p.4127

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 989-994Body Surface to External Channel Modeling

Body Surface to External Channel Modeling

Abstract:

In order to build WBAN devices and design WBANs, it is imperative to study the characteristics of WBAN channel and model the channel accurately. WBAN channel models are so different from the traditional mobile channel models and there are few publications on them. In this paper, we studied the statistic characteristics of the WBAN channel based on the IEEE 802.15.6 models. We focus on body surface nodes to external nodes, simulated the path loss models on 820 MHz and 2.36 GHz at both LOS and NLOS situations. We also used the Gauss model to fit the statistic results of the path loss and obtained coefficients of Gauss model.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 989-994)

Pages:

4111-4114

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.989-994.4111

Citation:

Cite this paper

Online since:

July 2014

Authors:

Yi Huai Yang, Li Fang Wang*, Dong Ya Shen, Miao Yang

Keywords:

Channel Modeling, Channel Time-Coherence, Time Variant Channel Fading, Wireless Body Area Network (WBAN)

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] Sana Ullah, Pervez Khan, Niamat Ullah, Shahnaz Saleem, Henry Higgins, and Kyung Sup Kwak: A Review of Wireless Body Area Networks for Medical Applications. ArXiv: 1001. 0831v3 [cs. NI] 3 Aug (2010).

DOI: 10.4236/ijcns.2009.28093

Google Scholar

[2] Harri Viittala, Matti Hämäläinen, Jari Iinatti, Attaphongse Taparugssanagorn: Different experimental WBAN channel models and IEEE802. 15. 6 models: comparison and effects. ISABEL 2009, Bratislava, Slovakia, Nov. 24-27, (2009).

DOI: 10.1109/isabel.2009.5373626

Google Scholar

[3] IEEE 802. 15 WPAN Task Group 6 (TG6) Body Area Networks. [Online] Available: http: /www. ieee802. org/15/pub/TG6. html.

Google Scholar

[4] Dino Miniutti, Leif Hanlen, David Smith, Andrew Zhang, Daniel Lewis, David Rodda, Ben Gilbert, Narrowband on body to off body channel characterization for ban, IEEE 802. 15-08-0559-00-0006, August (2008).

DOI: 10.1109/icc.2009.5198824

Google Scholar

[5] Jung-Hwan Hwang, Il-Hyoung Park, and Sung-Weon Kang: Channel model for human body communication. IEEE 802. 15-08-0577-01-0006, July (2010).

Google Scholar

[6] Zasowski T, Althaus F, Stäger M, Wittneben A, Tröster G. UWB for noninvasive wireless body area networks: channel measurements and results. IEEE Conference on Ultra Wideband Systems and Technologies (UWBST) (2003).

DOI: 10.1109/uwbst.2003.1267849

Google Scholar

[7] Fort A, Desset C, Ryckaert J, De Doncker P, Van Biesen L, Wambacq P. Characterization of the ultra wideband body area propagation channel. International Conference ICU 2006; 22-27.

DOI: 10.1109/icu.2005.1569950

Google Scholar

[8] Molisch A. Statistical properties of the RMS delay-spread of mobile radio channels with independent Rayleigh fading paths. IEEE Trans. Veh. Technol; 45: Feb. (1996).

DOI: 10.1109/25.481838

Google Scholar