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Propagation Models for IEEE 802.15.6 Standardization of Implant Communication in Body Area Networks

Published

Author(s)

Kamran Sayrafian, RA¿L CH¿VEZ-SANTIAGO , KENICHI TAKIZAWA , JIANQING WANG , ILANGKO BALASINGHAM, HUAN-BANG LI

Abstract

A Body Area Network (BAN) is a radio communication protocol for short range, low power and highly reliable wireless communication for use on the surface, inside, or in the peripheral proximity of the human body. Combined with various biomedical sensors, BANs enable real-time collection and monitoring of physiological signals. Therefore, it is regarded as an important technology for the treatment and prevention of chronic diseases, and health monitoring of the elderly. The IEEE 802 LAN/MAN Standards Committee (LMSC) approved the task group TG15.6 in December 2007. As a result of more than four years of efforts, in February 2012, TG15.6 published the first international standard for BAN, i.e., IEEE Std 802.15.6. Throughout the development of this standard, ample collaboration between the standardization group and the research community was required. In particular, understanding the radio propagation mechanisms for BAN demanded the most research efforts. Technical challenges were magnified for the case of implant communication because of the impossibility to conduct in-body measurements with human subjects. Therefore, research in this field had to make use of intricate computer simulations. This paper outlines some of the research that has been done to obtain accurate propagation models supporting the standardization of implant communication in BANs. Current research to enhance the channel models of IEEE Std 802.15.6 through the use of ultra wideband (UWB) signals for implantable devices along with physical measurements in animals is also presented.
Citation
IEEE Communications Magazine
Volume
51
Issue
8

Citation

Sayrafian, K. , CH¿VEZ-SANTIAGO, R. , TAKIZAWA, K. , WANG, J. , BALASINGHAM, I. and LI, H. (2013), Propagation Models for IEEE 802.15.6 Standardization of Implant Communication in Body Area Networks, IEEE Communications Magazine (Accessed December 10, 2024)

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Created August 1, 2013, Updated January 27, 2020