系统仿真学报 ›› 2017, Vol. 29 ›› Issue (12): 3067-3074.doi: 10.16182/j.issn1004731x.joss.201712018

• 仿真应用工程 • 上一篇    下一篇

一种实现MEO/LEO网络快速收敛的动态路由协议

潘成胜, 来维庚, 石怀峰   

  1. 大连大学通信与网络重点实验室,大连 116622
  • 收稿日期:2015-10-29 发布日期:2020-06-06
  • 作者简介:潘成胜,(1962-),男,江苏无锡,博士,教授,研究方向为一体化网络体系与网络协议研究。
  • 基金资助:
    国家自然科学基金(61301151,91338104)

A Dynamic Routing Protocol which can Achieve Fast Convergence of MEO/LEO Network

Pan Chengsheng, Lai Weigeng, Shi Huaifeng   

  1. Key Laboratory of Communication and Network, Dalian University, Dalian 116622, China
  • Received:2015-10-29 Published:2020-06-06

摘要: 针对卫星网络传输时延大、拓扑结构高动态特性所导致路由收敛慢的问题,提出一种实现MEO/LEO双层卫星网络路由快速收敛的动态路由协议,该协议在将虚拟拓扑路由策略和链路状态路由协议相结合的基础上,引入网络分簇思想,在卫星网络路由收敛过程中,将整个网络分簇管理,并提出适用于MEO/LEO双层卫星网络的覆盖式分簇算法,缩小了链路状态通告LSA(Link-state advertisement)的扩散范围,从而减少LSA的扩散开销及排队时延。同时,在路由表更新阶段,提出一种基于故障类型判断的定时器调度算法,有效减少了路由表更新时延,实现卫星网络的快速收敛。

关键词: 卫星网络, 路由收敛, 离线路由, 链路状态路由协议, 网络分簇

Abstract: In view of the routing convergence slow problem caused by the large delay and the topological structure high dynamic performance of the satellite network, a dynamic routing protocol which can achieve fast convergence of MEO/LEO double-layer satellite network routing is put forward. The protocol based on the combination of Virtual Topology Routing Strategy and link state routing protocol introduces the idea of network clustering. In the process of satellite network routing convergence, the whole network is divided into cluster management, and a covering clustering algorithm for MEO/LEO double layered satellite networks is proposed, which reduces the spread range of the link state notification LSA(Link-state advertisement), thus the LSA's diffusion overhead and the queuing delay are reduced. In the process of routing table update, a timer scheduling algorithm based on fault type judgment is proposed, which can reduce the time delay of routing table so as to realize the fast convergence of satellite networks.

Key words: satellite network, routing convergence, offline routing, link state routing protocol, network clustering

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