Scenario-Based Traffic Modeling for Data Emanating from Medical Instruments in Clinical Environment

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 ...

• Type: Conference
• Year: 2009
• Where: CSIE
• Authors: Aftab Ahmad, Anton Riedl, W. Jason Naramore, Nee-Yin Chou, Matthew Scott Alley
• Keywords: CSIE 2009, Individual Scenario-based Traffic, Simple Traffic Matrix, Traffic Carrying Needs