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

机译:采用模糊逻辑和遗传算法的宽带网络中多媒体应用的CAC和路由框架

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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 satisfication 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.
机译:为了支持多媒体通信,有必要开发用于路由多于一个QoS参数的路由算法。这是因为视频诸如按需视频和远程会议系统等新服务需要更好的QoS。此外,对于对多媒体应用的准入控制,应考虑不同的QoS参数。在我们以前的工作中,我们建议使用合作社的智能路由和CAC战略。所提出的路由算法是源和分布式路由的组合。它使用域内的源路由和用于域间的跳通路由。但是,在以前的研究中,我们只考虑了路由的时间延迟。此外,QoS和拥塞控制参数被认为是QoS满足和拥塞的指标。在这项工作中,我们通过基于模糊逻辑和遗传算法提出和实现新的算法来扩展我们以前的工作,该算法用于准入控制和路由许多QoS参数。仿真结果表明,提出的框架具有良好的性能,是QoS路由和入学决策的有希望的方法。

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