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A gradient‐based binary feedback scheme for congestion control in computer networks
Author(s) -
Aweya James,
Montuno Delfin Y.,
Zhang Qijun,
OrozcoBarbosa Luis
Publication year - 2000
Publication title -
international journal of communication systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.344
H-Index - 49
eISSN - 1099-1131
pISSN - 1074-5351
DOI - 10.1002/(sici)1099-1131(200003)13:2<99::aid-dac400>3.0.co;2-2
Subject(s) - computer science , queue , network congestion , scheme (mathematics) , binary number , sensitivity (control systems) , artificial neural network , control theory (sociology) , real time computing , control (management) , artificial intelligence , computer network , electronic engineering , mathematics , network packet , mathematical analysis , arithmetic , engineering
In this paper, we propose a binary feedback scheme for congestion control in computer networks using a gradient‐based mechanism which employs neural network modelling of the system dynamics. The optimal direction for rate adjustment at the source is based on a single bit feedback signal which depends upon the sign of the sensitivity of the system performance index with respect to queue input rate. The paper presents the scheme and the analysis that went into the choice of the various decision mechanisms. Simulation results are presented to show the performance of the gradient based technique as compared to the conventional queue‐based approach. Copyright © 2000 John Wiley & Sons, Ltd.