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Dynamic Adjustment A* Routing Algorithm

机译:动态调整A *路由算法

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摘要

Routing algorithm mainly focuses on routing method to ensure the connection between the sender and the receiver during each session is optimal and effective. It is very useful in packet transmission, especially in meeting the quality of service. Some traditional shortest path search algorithm (Width preferred search algorithm, Dijkstra algorithm) can solve the shortest path problem well within polynomial time when the wireless and cable network have infrastructure. But in the realtime communication environment, high dynamic topology of network structure and the QoS under network structure, we usually need to find out a group of the shortest or the second shortest path as the basis of scheme evaluation and selection. Usually, the heuristic search algorithm can solve the problem well, the heuristic function of the heuristic search algorithm equals sum of the actual passed path cost and the estimated cost of current node to target node. According to the feature of heuristic function, this paper dynamically adjusts the proportion in the searching process, and uses it in the search of the shortest path of network node. The result of this experiment shows that the efficiency of the improved algorithm is about 12.5% higher than that of the original algorithm.
机译:路由算法主要侧重于路由方法,以确保每个会话期间发送方和接收方之间的连接是最佳且有效的。这在数据包传输中非常有用,尤其是在满足服务质量方面。当无线和有线网络具有基础结构时,一些传统的最短路径搜索算法(宽度优先搜索算法,Dijkstra算法)可以在多项式时间内很好地解决最短路径问题。但是在实时通信环境,网络结构的高动态拓扑以及网络结构下的QoS中,通常需要找出一组最短或第二最短路径作为方案评估和选择的基础。通常,启发式搜索算法可以很好地解决该问题,启发式搜索算法的启发式功能等于实际通过的路径成本与当前节点到目标节点的估计成本之和。根据启发式功能的特点,动态调整搜索过程中的比例,并将其用于搜索网络节点的最短路径。实验结果表明,改进算法的效率比原始算法提高了约12.5%。

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