The total drag of transport systems such as airplanes, ships and/or trains is primarily determined by friction drag. At high Reynolds numbers (< 10 4 ) transversal surface waves are a promising approach for active drag reduction. For the application in airplanes or ships a large scale distributed real-time actuator and sensor network is required in order to provide a connection between a global flow control and the distributed actuators and sensors. For the development of this network we established a network model based on Simulink and TrueTime. To determine the network-and transmission-parameters for the model we set up a Raspberry Pi based testbed as a physical representation of a first small scale model. Using this testbed the parameters for the TrueTime network model have been retrieved. With this approach we assure a link between the large scale model and the later microcontroller based real time actuator and sensor network for distributed active turbulent flow control.