Quality of service using a combination of fuzzy c-means and regression model

DOGMAN, A, SAATCHI, Reza and AL-KHAYATT, Samir (2012). Quality of service using a combination of fuzzy c-means and regression model. International journal of electronics and electrical engineering, 6, 58-65.

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Abstract

In this study, a network quality of service (QoS) evaluation system was proposed. The system used a combination of fuzzy C-means (FCM) and regression model to analyse and assess the QoS in a simulated network. Network QoS parameters of multimedia applications were intelligently analysed by FCM clustering algorithm. The QoS parameters for each FCM cluster centre were then inputted to a regression model in order to quantify the overall QoS. The proposed QoS evaluation system provided valuable information about the network’s QoS patterns and based on this information, the overall network’s QoS was effectively quantified.

Item Type:	Article
Research Institute, Centre or Group - Does NOT include content added after October 2018:	Materials and Engineering Research Institute > Modelling Research Centre > Microsystems and Machine Vision Laboratory
Departments - Does NOT include content added after October 2018:	Faculty of Science, Technology and Arts > Department of Computing
Page Range:	58-65
Depositing User:	Helen Garner
Date Deposited:	05 Sep 2012 12:58
Last Modified:	18 Mar 2021 20:15
URI:	https://shura.shu.ac.uk/id/eprint/5817

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