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[期刊论文]

Channel modeling and power consumption analysis for galvanic coupling intra-body communication

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author:

Gao, Yue Ming (Gao, Yue Ming.) [1] | Ye, Yan Ting (Ye, Yan Ting.) [2] | Vai, Mang I (Vai, Mang I.) [3] | Unfold

Indexed by:

EI

Abstract:

Intra-body communication (IBC), using the human body as the channel to transmit data, has lower power consumption, less radiation, and easier linking than common wireless communication technologies such as Bluetooth, ZigBee, and ANT+. As a result, IBC is greatly suitable for body area network (BAN) applications, such as the medical and health care field. Furthermore, IBC can be implemented in wearable devices, including smart watches, sports bracelets, somatic game devices, and multimedia devices. However, due to the limited battery capacity of sensor nodes in a BAN, especially implanted sensor nodes, it is not convenient to charge or change the batteries. Thus, the energy effectiveness of the media access control (MAC) layer strongly affects the life span of the nodes and of the entire system. Certainly, analyzing MAC layer performance in a galvanic coupling IBC is of great importance for the overall system. To obtain the attenuation properties of IBC, in vivo experiments with seven volunteers were performed. Meanwhile, an equalizer was used to compensate the frequency distortion in consideration of frequency-selective fading characteristics of intra-body channels. In addition, a comparison of the bit error rates (BER) of different modulation methods was carried out to obtain the best modulation method. Then, the attenuation characteristics of intra-body channels were applied in a multi-node physiological signal monitor and transmission system. Finally, TDMA and CSMA/CA protocols were introduced to calculate the bit energy consumption of IBC in the practical scenario. With stable characteristics of the intra-body channels, QPSK with an equalizer had a better performance than the tests without an equalizer. As a result, the modulation method of FSK could achieve a lower BER in lower signal-to-noise ratio situations and an FSK method with TDMA for the IBC had the lowest energy consumption under different practical scenarios. © 2016, Gao et al.

Keyword:

Carrier sense multiple access Electric batteries Electric power transmission Electric power utilization Energy utilization Equalizers Frequency selective fading Frequency shift keying Medium access control Sensor nodes Signal to noise ratio Time division multiple access

Community:

  • [ 1 ] [Gao, Yue Ming]College of Physics and Information Engineering, Fuzhou University, Fuzhou, China
  • [ 2 ] [Gao, Yue Ming]Key Lab of Medical Instrumentation & Pharmaceutical Technology of Fujian Province, Fuzhou, China
  • [ 3 ] [Ye, Yan Ting]College of Physics and Information Engineering, Fuzhou University, Fuzhou, China
  • [ 4 ] [Ye, Yan Ting]Key Lab of Medical Instrumentation & Pharmaceutical Technology of Fujian Province, Fuzhou, China
  • [ 5 ] [Vai, Mang I]Key Lab of Medical Instrumentation & Pharmaceutical Technology of Fujian Province, Fuzhou, China
  • [ 6 ] [Vai, Mang I]State Key Laboratory of Analog and Mixed Signal VLSI, University of Macau, Macau, China
  • [ 7 ] [Vai, Mang I]Department of Electrical and Computer Engineering, Faculty of Science and Technology, University of Macau, Macau, China
  • [ 8 ] [Du, Min]College of Physics and Information Engineering, Fuzhou University, Fuzhou, China
  • [ 9 ] [Du, Min]Key Lab of Medical Instrumentation & Pharmaceutical Technology of Fujian Province, Fuzhou, China
  • [ 10 ] [Pun, Sio Hang]Key Lab of Medical Instrumentation & Pharmaceutical Technology of Fujian Province, Fuzhou, China
  • [ 11 ] [Pun, Sio Hang]State Key Laboratory of Analog and Mixed Signal VLSI, University of Macau, Macau, China

Reprint 's Address:

  • [gao, yue ming]key lab of medical instrumentation & pharmaceutical technology of fujian province, fuzhou, china;;[gao, yue ming]college of physics and information engineering, fuzhou university, fuzhou, china

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Related Article:

Source :

Eurasip Journal on Wireless Communications and Networking

ISSN: 1687-1472

Year: 2016

Issue: 1

Volume: 2016

1 . 5 2 9

JCR@2016

2 . 3 0 0

JCR@2023

ESI HC Threshold:175

JCR Journal Grade:3

CAS Journal Grade:4

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 8

30 Days PV: 1

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