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Multi-constraint quality of service routing algorithm for dynamic topology networks

机译:动态拓扑网络的多约束服务质量路由算法

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摘要

An adaptive multi-QoS routing algorithm called AMQRA is proposed for dynamic topology networks, such as satellite networks and Ad-hoc networks. The AMQRA is a distributed and mobile-agents-based routing algorithm, which combines ant quantity system (AQS) with ant colony optimization (ACO) that is used in AntNet routing algorithm. In dynamic topology networks, the AMQRA achieves timely optimization for concave metric QoS constraint and fast convergence. The proposed routing algorithm is simulated in Iridium satellite constellation on OPNET. The results show that AMQRA not only outperforms the AntNet in convergence rate in dynamic topology networks but also can optimize concave metric QoS constraint and reasonably allot bandwidth to the load to avoid networks congestion.
机译:针对诸如卫星网络和Ad-hoc网络之类的动态拓扑网络,提出了一种称为AMQRA的自适应多QoS路由算法。 AMQRA是一种基于移动代理的分布式路由算法,它将蚁群系统(AQS)与蚁群路由算法中使用的蚁群优化(ACO)相结合。在动态拓扑网络中,AMQRA可以针对凹度量QoS约束和快速收敛实现及时的优化。所提出的路由算法是在OPNET的铱星星座中进行仿真的。结果表明,在动态拓扑网络中,AMQRA不仅在收敛速度上优于AntNet,而且还可以优化凹度量QoS约束并合理分配带宽给负载,避免网络拥塞。

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