...
首页> 外文期刊>Space Communications >Traffic class dependent routing in ISL networks with adaptive forwarding based on local link load information
【24h】

Traffic class dependent routing in ISL networks with adaptive forwarding based on local link load information

机译:基于本地链路负载信息的自适应转发的ISL网络中与流量类有关的路由

获取原文
获取原文并翻译 | 示例
           

摘要

The provision of multimedia services via a non-geostationary satellite system characterised by highly dynamic conditions requires advanced traffic engineering procedures, including adaptive routing and adaptive forwarding. In this paper we assess traffic class dependent routing in the low earth orbit satellite system with a packet switched intersatellite link network. Traffic class dependent routing is enhanced with adaptive forwarding based on local link load information, which selects the most suitable of the two alternative shortest paths to the destination without any link status distribution between neighbouring nodes. The performance of the proposed forwarding policy is evaluated in two different traffic load scenarios, using a specifically developed simulation model. The simulation results are presented in terms of average packet delay in the network, average normalised data throughput and positions of satellites with critically loaded links. The simulation results indicate that the use of traffic class dependent routing with adaptive forwarding based on local link load information improves the network performance significantly in terms of all performance measures, and that the number of critically loaded links is drastically decreased due to the fast response of the adaptive forwarding policy to congestions on the link.
机译:通过以高度动态条件为特征的非对地静止卫星系统提供多媒体服务需要先进的流量工程程序,包括自适应路由和自适应转发。在本文中,我们评估了具有分组交换星际链路网络的低地球轨道卫星系统中与流量类别有关的路由。基于本地链路负载信息的自适应转发功能增强了与流量类有关的路由,该转发功能在到相邻目的地之间没有任何链路状态分配的情况下,选择了两条到目的地的最短路径中最合适的一条。使用专门开发的仿真模型,可以在两种不同的流量负载情况下评估提议的转发策略的性能。以网络中的平均数据包延迟,平均归一化数据吞吐量和具有严重负载链路的卫星的位置来表示仿真结果。仿真结果表明,根据所有性能指标,将基于流量类的路由与基于本地链路负载信息的自适应转发一起使用,可以显着改善网络性能,并且由于负载响应的快速响应,严重减少了关键链路的数量。针对链路拥塞的自适应转发策略。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号