【摘要】 研究了基于RPR高生存性网络的自动拓扑发现算法,给出了实现自动拓扑发现的“分层树状拓扑信息表”的数据结构的设计。结合该数据结构,详细讨论了自动拓扑发现算法的实现流程。通过OPNET对算法进行了仿真,实验结果表明该算法能有效实现网络的自动拓扑发现,具有较快的收敛特性。更多还原

【Abstract】 An auto-topology discovery algorithm of high survivability network based on RPR(HSNBR) is researched.The designing of a layered tree-like data structure to accomplish the auto-topology discovery algorithm is presented.A description of the auto-discovery process based on this data structure is discussed in detail.Simulation was conducted on the algorithm by OPNET.The experiment results proved that the auto-topology discovery algorithm can accomplish auto-topology discovery effectively and has preferable constringency characteristics.更多还原