QoS improvement using NLMPC for congestion control and co-operative information processing

Abstract

Congestion control in packet switching networks for improved Quality of Service (QoS) is extensively needed in Inter-Vehicular and Vehicle to Infrastructure Communication due to deployment of the Dynamic Short Range Protocol for communication. We will be investigating the Non-linear Model Predictive Dynamic Matrix Control for modeling the stochastic nature of changing vehicular traffic dynamics (mobile nodes). In this Letter we also propose a modification in the leaky bucket algorithm for variable traffic flow rate and a reverse mapping of location input to GPS co-ordinate conversion to IP address conversion and then provide auto-routing for vehicles from source to destination. Distributed and centralized information processing and data logging for performance analysis computing will be deployed using LabVIEW for peer-to-peer communication, collision avoidance and QoS improvement by reducing congestion. © 2012 Springer-Verlag.