Application of Genetic Algorithms for QoS Routing in Broadband Networks

Application of Genetic Algorithms for QoS Routing in Broadband Networks

Leonard Barolli (Fukuoka Institute of Technology, Japan) and Akio Koyama (Yamagata University, Japan)
Copyright: © 2005 |Pages: 9
DOI: 10.4018/978-1-59140-561-0.ch004
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Abstract

The networks of today are passing through a rapid evolution and are opening a new era of Information Technology (IT). In this information age, customers are requesting an ever-increasing number of new services, and each service will generate other requirements. This large span of requirements introduces the need for flexible networks. Also, future networks are expected to support a wide range of multimedia applications which raises new challenges for the next generation broadband networks. One of the key issues is the Quality of Service (QoS) routing (Baransel, Dobosiewicz, & Gburzynski, 1995; Black, 2000; Chen & Nahrstedt, 1998; Wang, 2001). To cope with multimedia transmission, the routing algorithms must be adaptive, flexible, and intelligent (Barolli, Koyama, Yamada, & Yokoyama, 2000, 2001). Use of intelligent algorithms based on Genetic Algorithm (GA), Fuzzy Logic (FL), and Neural Networks (NN) can prove to be efficient for telecommunication networks (Douligeris, Pistillides, & Panno, 2002). As opposed to non-linear programming, GA, FL and NN use heuristic rules to find an optimal solution.

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