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Stability and bifurcation analysis of Westwood+ TCP congestion control model in mobile cloud computing networks
Author(s) -
Hongyan Yu,
Songtao Guo,
Fei Wang
Publication year - 2016
Publication title -
nonlinear analysis modelling and control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.734
H-Index - 32
eISSN - 2335-8963
pISSN - 1392-5113
DOI - 10.15388/na.2016.4.4
Subject(s) - center manifold , hopf bifurcation , stability (learning theory) , control theory (sociology) , bifurcation , mathematics , network congestion , saddle node bifurcation , eigenvalues and eigenvectors , biological applications of bifurcation theory , computer science , mathematical analysis , topology (electrical circuits) , control (management) , physics , computer network , nonlinear system , artificial intelligence , quantum mechanics , machine learning , network packet , combinatorics
. In this paper, we first build up a Westwood+ TCP congestion control model with communication delay in mobile cloud computing networks. We then study the dynamics of this model by analyzing the distribution ranges of eigenvalues of its characteristic equation. Taking communication delay as the bifurcation parameter, we derive the linear stability criteria depending on communication delay. Furthermore, we study the direction of Hopf bifurcation as well as the stability of periodic solution for the Westwood+ TCP congestion control model with communication delay. We find that the Hopf bifurcation occurs when the communication delay passes a sequence of critical values. The stability and direction of the Hopf bifurcation are determined by the normal form theory and the center manifold theorem. Finally, numerical simulation is done to verify the theoretical results.

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