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An effective topology extraction algorithm for search reduction space of a GA-based QoS routing method in ad-hoc networks

机译:Ad-hoc网络中基于GA的QoS路由方法减少搜索空间的有效拓扑提取算法

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A lot of work has been done on routing in MANETs. However, the proposed routing solutions deal only with the best effort data traffic. Connections with quality of service (QoS) requirements are not supported. The QoS routing has been receiving increasingly intensive attention in the wireline network domain. However, for MANETs are proposed only few QoS routing algorithms. For MANETs, approximated solutions and heuristic algorithms should be developed and QoS routing algorithms should be adaptive, flexible, and intelligent. In our previous work, we proposed a genetic algorithm (GA) based routing method for mobile ad-hoc networks (GAMAN). In this paper, we enhance the proposed algorithm by adding an effective topology extraction algorithm to reduce the search space of GAMAN. We call this algorithm E-GAMAN. The E-GAMAN uses two QoS parameters for routing. The performance evaluation via simulations shows that E-GAMAN has a good performance.
机译:在船只路由时已经完成了很多工作。但是,所提出的路由解决方案仅处理数据流量的最佳努力。不支持与服务质量(QoS)要求的连接。 QoS路由在有线网络域中获得了越来越强烈的重症。但是,对于仅少数QoS路由算法提出了枪声。对于船只,应开发近似解和启发式算法,并且QoS路由算法应为自适应,灵活和智能。在我们以前的工作中,我们提出了一种基于遗传算法(GA)用于移动ad-hoc网络的路由方法(gaman)。在本文中,我们通过添加有效的拓扑提取算法来增强所提出的算法来减少Gaman的搜索空间。我们称该算法E-Gaman称为e_。 E-Gaman使用两个QoS参数进行路由。通过仿真的性能评估表明E-Gaman具有良好的性能。

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