Analysis of Dynamic Channel Characteristics Based on a Body Area Network

Human communication is a new method that uses human body biological tissue as the transmission medium for short-distance communication. Because static human communication characteristics have been studied more, this paper proposed and verified a dynamic human body communication channel model in the...

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Bibliographic Details
Published in:Wireless personal communications 2022-02, Vol.122 (4), p.2905-2924
Main Authors: Zhou, Lingli, Liao, Wei, Hou, Songyue
Format: Article
Language:English
Subjects:
Absorptivity
Body area networks
Communication
Communications Engineering
Computer Communication Networks
Delay
Electromagnetic fields
Engineering
Human body
Human communication
Human motion
Networks
Probability density functions
Signal,Image and Speech Processing
Tissues
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Summary:Human communication is a new method that uses human body biological tissue as the transmission medium for short-distance communication. Because static human communication characteristics have been studied more, this paper proposed and verified a dynamic human body communication channel model in the Human Body Communication band, and the dynamic channel characteristics of 35 kinds of human body continuous postures were analyzed. The results of using five typical communication links on the dynamic human body model show that the average power delay is following a second order exponential decay. The Akaike information criterion was used to determine the cumulative probability density function distribution of the first path delay, interval delay and delay spread. The channel characteristics of two-person standing side-by-side communication were studied to extend the application of human communication technology, and the two human models touch each other through their arms. The forward and backward motion of the noncontact arm along the human body surface has different effects on the path loss of the communication link with the chest as the transmitter and the arm as the transmitter. To evaluate the safety of human body communication technology on the human body, the frequency domain finite differential analysis method was used to analyze the distribution of the electromagnetic field. The absorption rate is the quantification of the electromagnetic energy absorbed by the human body, and the absorptivity of 35 postures demonstrated that human communication technology is not harmful to the human body.
ISSN:0929-6212
1572-834X
DOI:10.1007/s11277-021-09035-5