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On stretch factors of greedy routing algorithms.

机译:关于拉伸因子的贪婪路由算法。

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摘要

Routing aims to find a path to deliver the information from a source to the destination in the network. Routing is one of the most important algorithmic problems in networking. Our research focuses primarily on greedy routing algorithms. The greedy routing algorithms always compute a routing path by forwarding a message to a neighbor closer to the destination than itself. The closeness to the destination can be measured differently via different notions of distances. Greedy routing algorithms keep forwarding the message to a neighbor closer to the destination than itself until the distance to the destination reduces to zero. When the distance is zero, the message has reached its destination. One of the metrics used to quantitatively measure the effectiveness of the routing algorithms is a stretch factor. The stretch factor is defined as the worst ratio of the length of the routing path computed by an algorithm versus the shortest length path. The ratio equal to one is acknowledged as optimum stretch factor algorithm. An improved stretch factor reduces the overhead cost and ensures the better utilization of available resources. Ideally, one would desire to use an optimum routing algorithm, but in some cases it is not always feasible, especially in cases such as complex networks. Under such circumstances, algorithms with smaller stretch factors are preferred. To the best of our knowledge, so far adequate research has not been conducted on reducing the stretch factors of greedy routing algorithms. In this dissertation, we present two greedy routing algorithms. The first algorithm is a heuristic greedy routing algorithm for general networks. We have conducted an experimental study on the algorithm; results show that it produces a small stretch factor. We also theoretically establish the lower bound of the stretch factor for a special subcategory of networks, i.e., 2-connected outerplanar networks. The second algorithm presented in this dissertation is an optimum greedy routing algorithm for triangulated polygon networks.
机译:路由的目的是找到一条路径,将信息从源传递到网络中的目的地。路由是网络中最重要的算法问题之一。我们的研究主要集中在贪婪路由算法上。贪婪的路由算法总是通过将消息转发到比目的地更近的邻居来计算路由路径。可以通过不同的距离概念来不同地测量到目的地的距离。贪婪的路由算法会继续将邮件转发到比自己更近的邻居,直到到目的地的距离减小到零为止。当距离为零时,消息已到达其目的地。用来量化路由算法有效性的指标之一是拉伸因子。拉伸因子定义为算法计算的路由路径长度与最短路径之间的最差比率。等于1的比率被认为是最佳拉伸因子算法。改进的拉伸因子可降低开销成本,并确保更好地利用可用资源。理想情况下,人们希望使用一种最佳的路由算法,但在某些情况下并不总是可行的,特别是在诸如复杂网络的情况下。在这种情况下,首选具有较小拉伸因子的算法。据我们所知,到目前为止,尚未进行充分的研究来减少贪婪路由算法的延展因子。本文提出了两种贪婪路由算法。第一种算法是用于通用网络的启发式贪婪路由算法。我们对该算法进行了实验研究;结果表明,它产生小的拉伸因子。我们还从理论上为网络的特殊子类别(即2连通的外平面网络)建立了拉伸因子的下限。本文提出的第二种算法是三角多边形网络的最优贪婪路由算法。

著录项

  • 作者

    Kulkarni, Omkar U.;

  • 作者单位

    The University of Alabama in Huntsville.;

  • 授予单位 The University of Alabama in Huntsville.;
  • 学科 Computer Science.
  • 学位 Ph.D.
  • 年度 2013
  • 页码 124 p.
  • 总页数 124
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 TS97-4;
  • 关键词

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