A Characterization of Route Variability in LEO Satellite Networks
A Characterization of Route Variability in LEO Satellite Networks
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DOI：
10.1007/978-3-031-28486-1_14
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发表时间：
2023
影响因子：
1.4
通讯作者：
Vaibhav Bhosale;Ahmed Saeed;Ketan Bhardwaj;Ada Gavrilovska
中科院分区：
文献类型：
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作者：
Vaibhav Bhosale;Ahmed Saeed;Ketan Bhardwaj;Ada Gavrilovska
低地轨道卫星网络具有高度动态的拓扑结构，卫星以每小时27，000公里的速度移动以维持其轨道。随着卫星的移动，卫星网络路由的特征发生变化，从而触发重路由事件。频繁的重新路由可能导致路径自适应算法的性能差（例如，拥塞控制）。在本文中，我们提供了一个彻底的表征在LEO卫星网络中的路由变异性，专注于路由流失和RTT的变化。我们发现，高路由流失是常见的，大多数路径使用不到一半的生命周期。一些路径只使用了几秒钟。在大多数情况下（例如，RTT减少不到15%）。此外，我们表明，高路由搅动是有害的网络利用率和拥塞控制性能。通过研究RTT的变化，我们发现，两个地面站之间的最小可实现的RTT可以增加的卫星在其轨道上移动。我们发现，RTT的变化幅度取决于通信地面站的位置，表现出空间结构。最后，我们表明，增加更多的卫星，并提供更多的站之间的路线，并不一定减少路线的可变性。相反，星座配置（即，轨道的数量和它们的倾角）起着更重要的作用。我们希望这项研究的结果将有助于设计更强大的LEO卫星网络的路由算法。
LEO satellite networks possess highly dynamic topologies, with satellites moving at 27,000 km/hour to maintain their orbit. As satellites move, the characteristics of the satellite network routes change, triggering rerouting events. Frequent rerouting can cause poor performance for path-adaptive algorithms (e.g., congestion control). In this paper, we provide a thorough characterization of route variability in LEO satellite networks, focusing on route churn and RTT variability. We show that high route churn is common, with most paths used for less than half of their lifetime. With some paths used for just a few seconds. This churn is also unnecessary with rerouting leading to marginal gains in most cases (e.g., less than a 15% reduction in RTT). Moreover, we show that the high route churn is harmful to network utilization and congestion control performance. By examining RTT variability, we find that the smallest achievable RTT between two ground stations can increase byas satellites move in their orbits. We show that the magnitude of RTT variability depends on the location of the communicating ground stations, exhibiting a spatial structure. Finally, we show that adding more satellites, and providing more routes between stations, does not necessarily reduce route variability. Rather, constellation configuration (i.e., the number of orbits and their inclination) plays a more significant role. We hope that the findings of this study will help with designing more robust routing algorithms for LEO satellite networks.