Conference Paper

A CAC and Routing Framework for Multimedia Applications in Broadband Networks Using Fuzzy Logic and Genetic Algorithm.

Graduate Sch. of Eng., Fukuoka Inst. of Technol. (FIT), Japan;
DOI: 10.1109/ICPADS.2005.11 Conference: 11th International Conference on Parallel and Distributed Systems (ICPADS 2005), 20-22 July 2005, Fuduoka, Japan, 2 Volumes
Source: DBLP

ABSTRACT In order to support multimedia communication, it is necessary to develop routing algorithms which use for routing more than one QoS parameters. This is because new services such as video on demand and remote meeting systems require better QoS. Also, for admission control of multimedia applications different QoS parameters should be considered. In our previous work, we proposed an intelligent routing and CAC strategy using cooperative agents. The proposed routing algorithm is a combination of source and distributed routing. It uses source routing inside a domain and hop-by-hop routing for inter-domain. However, in the previous research, we only considered the time delay for the routing. Also, QoS and congestion control parameters were considered just as indicators of QoS satisfaction and congestion. In this work, we extend our previous work by proposing and implementing new algorithms based on fuzzy logic and genetic algorithm which use for admission control and routing many QoS parameters. The simulation results show that proposed framework has a good performance and is a promising method for QoS routing and admission decision.

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    ABSTRACT: In order to support multimedia communication, it is necessary to develop routing algorithms which use for routing more than one QoS parameters. This is because new services such as video on demand and remote meeting systems require better QoS. Also, for the Call Admission Control (CAC) of multimedia applications different QoS parameters should be considered. In our previous work, we proposed an intelligent routing and CAC strategy using cooperative agents. However, we only considered the time delay for the routing. The QoS and Congestion Control (CC) parameters were considered as indicators of QoS satisfication and congestion. In this work, we extend our previous work by proposing and implementing new algorithms based on Fuzzy Logic (FL) and Genetic Algorithm (GA) which use for CAC and routing many QoS parameters. The simulation results show that proposed framework has a good performance and is a promising method for QoS routing and CAC decision.
    Journal of Computer and System Sciences 01/2006; · 1.00 Impact Factor