Modeling and evaluation of a streaming traffic controller for vehicular ad-hoc networks

  • Authors:
  • Brijesh Kadri Mohandas;Oliver Yang;Ramiro Liscano

  • Affiliations:
  • CCNR Lab, University of Ottawa, Ottawa, Canada;CCNR Lab, University of Ottawa, Ottawa, Canada;CCNR Lab, University of Ottawa, Ottawa, Canada

  • Venue:
  • CCNC'10 Proceedings of the 7th IEEE conference on Consumer communications and networking conference
  • Year:
  • 2010

Quantified Score

Hi-index 0.00

Visualization

Abstract

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.