Stochastic Modeling and Analysis of GRED-I Congestion Control for Differentiated Bursty Traffic

Authors:
Lan Wang;Geyong Min;Irfan Awan
Affiliations:
University of Bradford, Bradford, BD7 1DP, UK;University of Bradford, Bradford, BD7 1DP, UK;University of Bradford, Bradford, BD7 1DP, UK
Venue:
AINA '07 Proceedings of the 21st International Conference on Advanced Networking and Applications
Year:
2007

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An efficient k-level traffic control scheme with congestion awareness in wireless mesh networks

International Journal of Ad Hoc and Ubiquitous Computing

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Abstract

This paper develops an analytical performance model for a finite capacity queueing system with an enhanced Random Early Detection (RED) congestion control scheme in the presence of differentiated classes of bursty traffic. The aggregate traffic is captured by the superposition of 2-state Markov Modulated Poisson Processes (MMPP). Two individual thresholds are assigned to each traffic class in order to differentially control traffic injection rate. The accuracy of this model is verified by comparing the analytical results against those obtained from simulation. The model is adopted to investigate the effects of traffic burstiness and system capacity on the performance of the congestion control scheme.