A Two-Layered Shared Tree Multicast Routing Algorithm for Software Defined Hybrid Satellite-Terrestrial Communication Networks

Jiayan Xiong, Zhen Xu, Zhiqi Dai
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引用次数: 0

Abstract

Dynamic routing and congestion control are two major problems in software-defined hybrid satellite-terrestrial multicast networks research. Due to terrestrial users being allowed to join or leave the multicast group at any time and the differences between the satellite and the terrestrial networks, many multicast routing algorithms reroute rapidly and thus increase the rerouting overheads. Meanwhile, the congestion ratio is increased by some hot nodes of satellite-terrestrial link transmission paths. This paper focuses on rerouting overheads and congestion problems in satellite-terrestrial multicast networks. We present a satellite-terrestrial network architecture with the Software-Defined Networking (SDN) features to offer dynamic multicast services for terrestrial users. A Two-Layered Shared Tree Multicast (TSTM) routing algorithm is proposed to achieve efficient dynamic multicast group management, address the trade-off between bandwidth consumption and rerouting overheads. The algorithm also implements congestion control by using a load factor to reflect on the global network bandwidth usage in routing calculations. This algorithm balances the rerouting frequencies of satellite and terrestrial networks to decrease the rerouting overheads and also reduces the network congestion ratio. The simulation shows TSTM decreases rerouting cost, user time delay, and node congestion ratio compared with the locality-aware multicast approach (LAMA).
软件定义星地混合通信网络的两层共享树组播路由算法
动态路由和拥塞控制是软件定义星地混合组播网络研究中的两个主要问题。由于地面用户可以随时加入或离开组播组,以及卫星网络与地面网络的差异,许多组播路由算法的重路由速度很快,从而增加了重路由开销。同时,一些星地链路传输路径的热点节点增加了拥塞率。本文主要研究卫星-地面多播网络中的重路由开销和拥塞问题。提出了一种具有软件定义网络(SDN)特征的卫星-地面网络架构,为地面用户提供动态组播服务。提出了一种双层共享树组播(TSTM)路由算法,以实现高效的动态组播组管理,解决带宽消耗和重路由开销之间的权衡问题。该算法还通过在路由计算中使用负载因子反映全局网络带宽使用情况来实现拥塞控制。该算法平衡了卫星网络和地面网络的重路由频率,减少了重路由开销,降低了网络拥塞率。仿真结果表明,与位置感知组播方法(LAMA)相比,TSTM降低了重路由开销、用户时延和节点拥塞率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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