DocumentCode
2570807
Title
Reliability modeling for wireless Ultra Wideband biomedical radar sensing network
Author
Wang, Xubo ; Dinh, Anh ; Teng, Daniel
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Saskatchewan, Saskatoon, SK, Canada
fYear
2010
fDate
16-18 April 2010
Firstpage
69
Lastpage
73
Abstract
Impulse Radio Ultra Wideband technology is a newly emerged technology suitable for low-power, low-complex, and low-cost biomedical radar sensing network. Fault tolerance and reliability, and power-saving perform a critical role in the operation of the IR-UWB human bio-sensing network designed for real-time human body health monitoring. In this paper, an IR-UWB bio-sensing network is proposed and the continuous Markov process is applied to model the proposed UWB bio-sensor network. Two different models are investigated, one is sensor with three transmitting power levels, and the other is sensor with six power levels. Both of them consume same total amount of power. The radar sensor and the sink node Markov model with repair rates taken into account are modeled as well. The paper is a contributing effort to develop an analytical model and explore the trade-offs in wireless IR-UWB bio-sensor network in terms of predicted reliability, operation time (MTTF), and power consumption.
Keywords
Markov processes; biomedical electronics; body sensor networks; fault tolerance; patient monitoring; ultra wideband radar; IR-UWB human biosensing network; continuous Markov process; fault tolerance; impulse radio ultrawideband technology; operation time; power consumption; power-saving; real-time human body health monitoring; reliability modeling; sink node Markov model; wireless ultrawideband biomedical radar sensing network; Analytical models; Biological system modeling; Biomedical monitoring; Biosensors; Fault tolerance; Humans; Markov processes; Ultra wideband radar; Ultra wideband technology; Wireless sensor networks; Markov process; UWB; modeling; reliability; wireless bio-sensor network (WBSN);
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics and Biomedical Technology (ICBBT), 2010 International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-6775-4
Type
conf
DOI
10.1109/ICBBT.2010.5479009
Filename
5479009
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