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.

Full text not available from this repository.

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:	Materials and Engineering Research Institute > Centre for Robotics and Automation > Mobile Machine and Vision Laboratory
Depositing User:	Helen Garner
Date Deposited:	05 Sep 2012 13:58
Last Modified:	05 Sep 2012 13:58
URI:	http://shura.shu.ac.uk/id/eprint/5817

Actions (login required)

View Item

Downloads