Suboptimal RED Feedback Control for Buffered TCP Flow Dynamics in Computer Network

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ID: 13304
2007
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Abstract
We present an improved dynamic system that simulates the behavior of TCP flows and active queue management (AQM) system. This system can be modeled by a set of stochastic differential equations driven by a doubly stochastic point process with intensities being the controls. The feedback laws proposed monitor the status of buffers and multiplexor of the router, detect incipient congestion by sending warning signals to the sources. The simulation results show that the optimal feedback control law from the class of linear as well as quadratic polynomials can improve the system performance significantly in terms of maximizing the link utilization, minimizing congestion, packet losses, as well as global synchronization. The optimization process used is based on random recursive search technique known as RRS.
Reference Key
ahmed2007suboptimalmathematical Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Ahmed, N. U.;Ouyang, X. H.;
Journal mathematical problems in engineering
Year 2007
DOI
DOI not found
URL
http://dx.doi.org/10.1155/2007/54683
Keywords Keywords not found

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