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Innovating Multicast Tree and Artificial Algorithms for Service Based Routing

机译：创新的基于服务树的组播树和人工算法

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摘要

In advance network we may use service Based Routing (SBR), so data is transmitted from a source node to destination nodes are not depended on destination addresses. So, it may be comfortable with new advanced technology as cloud computing and also flexible and reliable. Multicast routing is advanced technique to deliver data simultaneously from one source node to multiple destination nodes with QOS (quality of service). In this paper, we introduce a technique that is extended from multicast technique with multiple multicast trees that are conformed quality of service routing and multiple path routing. It also guarantees QOS of routes such as bandwidth. This technique is based on Greedy, Ant Colony Optimization, artificial neural network and fuzzy logic to get optimal routes to transmit data from one source to multiple destination node very effectively. The usage of the ANT Colony optimization, Greedy, fuzzy logic algorithms to find cyclic or multiple paths routes on each trunk by multiple criterions to transmit data effectively.
机译：在预先的网络中，我们可能使用基于服务的路由（SBR），因此数据从源节点传输到目标节点并不依赖于目标地址。因此，它可能对像云计算这样的新的先进技术感到满意，并且灵活而可靠。组播路由是一种先进的技术，可通过QOS（服务质量）将数据从一个源节点同时传送到多个目标节点。在本文中，我们介绍了一种从多播技术扩展而来的技术，该技术具有符合服务质量路由和多路径路由的多个多播树。它还保证了带宽等路由的QOS。该技术基于贪婪，蚁群优化，人工神经网络和模糊逻辑来获得最佳路由，以非常有效地将数据从一个源传输到多个目标节点。使用ANT殖民地优化，贪婪，模糊逻辑算法，通过多种标准在每个干线上找到循环或多条路径的路由，从而有效地传输数据。

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