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An ant colony algorithm based on orientation factor for QoS multicast routing in ad hoc networks

机译:基于临时网络QoS组播路由方向因子的蚁群算法

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The ad hoc network has been attracting more and more attention for its special attributes and applications. This paper proposes an ant colony algorithm with orientation factor and applies it to multicast routing problem with multi-constraints QoS in the ad hoc network. The orientation factor is a heuristic element based on GPS, which enables the ant to get rid of the initial blindness when searching paths, and overcome the drawbacks of slow convergence existing in the basic ant colony algorithm, increasing the speed of convergence and speeding up the finding of feasible solution to the multi-constraint problem. Simulation results show that the modified algorithm makes it possible to find feasible solution to the multicast routing problem with delay and delay variation-bounded. And compared with the conventional ant colony algorithm, the convergence speed of the modified algorithm is improved and the number of packets used for computing routing decreases obviously.
机译:Ad Hoc网络对其特殊属性和应用程序越来越受到关注。本文提出了一种具有方向因子的蚁群算法,并将其应用于临时网络中的多约束QoS的组播路由问题。定向因子是基于GPS的启发式元素,这使得蚂蚁能够在搜索路径时摆脱初始失明,并克服了基本蚁群算法中存在的缓慢收敛的缺点,提高了收敛速度并加速了速度找到多约束问题的可行解决方案。仿真结果表明,修改的算法可以使用延迟和延迟变化界限为多播路由问题找到可行的解决方案。与传统的蚁群算法相比,改进了修改算法的收敛速度,用于计算路由的分组数明显减少。

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