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Reseach Article

Fuzzy Logic for QoS Control in IMS network

by Errais Mohammed, Raouyane Brahim, Bellafkih Mostafa
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 28 - Number 9
Year of Publication: 2011
Authors: Errais Mohammed, Raouyane Brahim, Bellafkih Mostafa
10.5120/3413-4762

Errais Mohammed, Raouyane Brahim, Bellafkih Mostafa . Fuzzy Logic for QoS Control in IMS network. International Journal of Computer Applications. 28, 9 ( August 2011), 39-45. DOI=10.5120/3413-4762

@article{ 10.5120/3413-4762,
author = { Errais Mohammed, Raouyane Brahim, Bellafkih Mostafa },
title = { Fuzzy Logic for QoS Control in IMS network },
journal = { International Journal of Computer Applications },
issue_date = { August 2011 },
volume = { 28 },
number = { 9 },
month = { August },
year = { 2011 },
issn = { 0975-8887 },
pages = { 39-45 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume28/number9/3413-4762/ },
doi = { 10.5120/3413-4762 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:14:22.332295+05:30
%A Errais Mohammed
%A Raouyane Brahim
%A Bellafkih Mostafa
%T Fuzzy Logic for QoS Control in IMS network
%J International Journal of Computer Applications
%@ 0975-8887
%V 28
%N 9
%P 39-45
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The nature of the services provided by IP Multimedia Subsystem (IMS) networks require a maximum quality, this will appear in service provisioning for differentiate between the added value of IMS and other classical case as well as Internet. Toward, the QoS management mechanisms focus primarily on resource reservation in service provisioning, all this specification are introduced by 3GPP standards. Although, all proposed mechanisms haven’t any entity overseeing and monitoring services after supply. For that in this work, we propose a new approach QoS monitoring based on fuzzy logic. The technique allows modelling a control system able to identify any QoS deterioration in real-time, also a rapid resources reconfiguration and restoration to ensure customer satisfaction IMS.

References
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  2. BELLAFKIH Mostafa, RAOUYANE Brahim, ERRAIS Mohammed, RAMDANI Mohammed “QoS Management in IMS: Diameter-DiffServ”. NGNS’10: International Conference on Next Generation Networks & Services, 04-06 juin 2010, Rabat, Maroc.
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Index Terms

Computer Science
Information Sciences

Keywords

IP Multimedia Subsystem (IMS) Fuzzy Logic Quality of Service (QoS)