Friday 20 March 2009

Wseas Transactions

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Transactions: WSEAS TRANSACTIONS ON COMMUNICATIONS
Transactions ID Number: 32-354
Full Name: Arianit Maraj
Position: Assistant Professor
Age: ON
Sex: Male
Address: Dardania p.nr. PTK, Prishtina-Kosova
Country: YUGOSLAVIA
Tel: +37744425159
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E-mail address: arianit.maraj@ptkonline.com
Other E-mails: arianitmaraj@yahoo.com
Title of the Paper: Analysis of routing metrics for offering IPTV over WiMAX using fuzzy logic
Authors as they appear in the Paper: Arianit Maraj, Skender Rugova
Email addresses of all the authors: arianit.maraj@ptkonline.com,skender.rugova@ptkonline.com
Number of paper pages: 13
Abstract: 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.
Keywords: Routing Metrics, Quality of Service, WiMAX, IPTV, Fuzzy Logic, Defuzzification Method
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