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An Efficient Ant Colony Algorithm for QoS Anycast Routing

机译:QoS选播路由的高效蚁群算法

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摘要

Anycast communication is a new Internet service defined in IPv6, and it can make a host communication with the one "nearest" member in a group of servers. The anycast routing problem with multiple QoS constrained is known to be NPcomplete problem and we can't get satisfying results when using the precise method in polynomial time. In this paper, a QoS anycast routing algorithm based on ant colony algorithm is proposed. In order to search a reasonable anycast routing path, a felicitous estimate method of the optimization path is designed and the load balance is considered. By adjusting the pheromone in the iteration-best path and re-initializing the algorithm, this algorithm can efficiently avoid falling into local optimal path and enlarge global searching. The experimental results show that this algorithm can effectively find the global-best solution that satisfied the QoS constraint and balance the load of networks, and has better performance and efficiency.
机译:任播通信是IPv6中定义的一项新的Internet服务,它可以与一组服务器中的一个“最近”成员进行主机通信。具有多个QoS约束的任播路由问题被称为NPcomplete问题,在多项式时间内使用精确方法无法获得令人满意的结果。提出了一种基于蚁群算法的QoS任意播路由算法。为了搜索一条合理的任播路由路径,设计了一种优化路径的合理估计方法,并考虑了负载均衡。通过调整最佳迭代路径中的信息素并重新初始化算法,该算法可以有效避免陷入局部最优路径并扩大全局搜索范围。实验结果表明,该算法可以有效地找到满足QoS约束,平衡网络负载的全局最佳解决方案,并具有较好的性能和效率。

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