Modeling and Evaluation of a Streaming Traffic Controller for Vehicular Ad-Hoc Networks

In this paper we model the data traffic congestion scenario in a vehicular ad-hoc network, and we apply the Adaptive PI Rate Controller (APIRATE) to deal with the congestion. Derived from classical control theory, the APIRATE controller performs AQM (Active Queue Management) by controlling the source rate based on the instantaneous queue length of the congested node. We then study the performance of this controller in a mobile rural scenario, and show that it has better performance for streaming traffic when compared with other existing controller.