An introduction to fuzzy control
An introduction to fuzzy control
Managing QoS for Multimedia Applications in a Differentiated Services Environment
AMS '02 Proceedings of the Fourth Annual International Workshop on Active Middleware Services
First Course On Fuzzy Theory And Applications.
First Course On Fuzzy Theory And Applications.
Fundamentals of WiMAX: Understanding Broadband Wireless Networking (Prentice Hall Communications Engineering and Emerging Technologies Series)
WiMAX: Technologies, Performance Analysis, and QoS
WiMAX: Technologies, Performance Analysis, and QoS
ICOSSSE'08 Proceedings of the 7th WSEAS international conference on System science and simulation in engineering
Next Generation IPTV Services and Technologies
Next Generation IPTV Services and Technologies
Internet Protocol Television (IPTV): The Killer Application for the Next-Generation Internet
IEEE Communications Magazine
A Survey on Mobile WiMAX [Wireless Broadband Access]
IEEE Communications Magazine
Quality-of-service routing for supporting multimedia applications
IEEE Journal on Selected Areas in Communications
Studying of different parameters that affect QoS in IPTV systems
TELE-INFO'10 Proceedings of the 9th WSEAS international conference on Telecommunications and informatics
| Hi-index | 0.00 |
The quality of delivering IPTV services depends on the network QoS and bandwidth of broadband service providers. The possibility to offer high bandwidth capacity of WiMAX technology is attractive to offer IPTV services. There is an increasing trend to deploy WiMAX technology for offering those services. Network QoS for offering IPTV services depends on network efficiency. To satisfy QoS requirements for offering IPTV over WiMAX technology we should take into consideration routing metrics that affect directly to the QoS. Here we will consider three metrics: bandwidth, losses and delays. For transmitting multimedia (in this case IPTV) services over WiMAX it is desired to design some controlling mechanisms for solving different problems in a network in case of packet delays, losses etc. Because of complex nature of controlling mechanisms it is desired to design intelligent controlling techniques. One of the intelligent techniques that would be present in this paper is fuzzy logic controller. In this paper we will design FLC using Matlab software. As input parameters will be three routing metrics mentioned above, whereas as output parameter will be network efficiency. The aim is to obtain better values of network efficiency using different rules from Rule Editor and using appropriate defuzzification method.