基于空时图的卫星网络随机流量最小代价路由算法

Chengcheng Shi, Peng Yuan, Zhihua Yang
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引用次数: 3

摘要

在卫星网络中,由于数据量的不确定性、时变拓扑结构和机载资源的有限性,随机通信量对路由设计提出了挑战。因此,在本文中,我们演示了一个ON/OFF交通模型,以一个设计良好的时空图来描述具有等量数据的交通事件的概率到达。特别提出了一种基于空时图的最小代价路由算法(MCRT)来寻找一组可行路径,其中接触容量对于随机到达的交通数据是概率可用的。利用这些路径,当前的交通数据可以成功地传输到目的地的时间段内,在可容忍的延迟要求的最小代价。仿真结果表明,该算法与确定性流量下的最小代价路由算法相比具有良好的性能。
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A Space-Time Graph based Minimum Cost Routing Algorithm for the Random Traffic in the Satellite Network
In a satellite network, random traffic challenges the routing design due to the indeterminate data volume, time-varying topology and limited resource onboard. In this paper, therefore, an ON/OFF traffic model is demonstrated to describe the probabilistic arrival of traffic events with equal amounts of data, in a well-designed space-time graph. In particular, a space-time graph based minimum cost routing algorithm (MCRT) is proposed to find a feasible set of paths, where the contact capacity is probabilistically available for the such randomly arriving traffic data. Utilizing these paths, current traffic data could be transferred successfully to the destination during the ON period time slots, with a minimum cost in a tolerable delay requirement. Compared with a minimum cost routing algorithm for deterministic traffic, the simulation results show the excellent performance for the proposed MCRT algorithm.
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