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March 31, 2009 to April 2, 2009
ISBN: 978-0-7695-3507-4
pp: 529-533
In this paper, the application of individual scenario-based traffic models in identifying the traffic carrying needs of networks in patient monitoring environments is presented. Since the total number of traffic sources is small for a central limit theorem-like approximation, a simple traffic matrix for each scenario can be used to identify the capacity needed for carrying data. The data traffic is classified into three categories; constant bit rate (CBR), On-Off, and Impulsive. In digital communications, the Impulsive traffic is considered a limiting case of the On-Off traffic. Lack of standard mechanisms for digitization of the patient monitoring data offers a unique challenge for traffic modeling. Sample traffic characteristics in a certain scenario are used to demonstrate that the network does not have to be designed for a very high bit rate even if some sources occasionally generate high data rates. This is due to the fact that a source generating high data rate could do so only for a small fraction of time, which results in smoothing out the data over longer periods of time.
Traffic Modeling, Patient Monitoring
Aftab Ahmad, Anton Riedl, W. Jason Naramore, Nee-Yin Chou, Matthew Scott Alley, "Scenario-Based Traffic Modeling for Data Emanating from Medical Instruments in Clinical Environment", CSIE, 2009, 2009 WRI World Congress on Computer Science and Information Engineering, CSIE, 2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009, pp. 529-533, doi:10.1109/CSIE.2009.969
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