A Back-tracing Partition based On-path Caching Distribution Strategy over integrated LEO Satellite and Terrestrial networks

Yue Li, Qinyu Zhang, Peng Yuan, Zhihua Yang
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引用次数: 6

Abstract

In these years, hybrid low earth orbit (LEO) satellites and terrestrial networks are widely developed for a variety of content distribution services, such as internet of things, satellite sensor networks and tactical distribution networks, due to low deployment cost and broader coverage capability. However, an unreasonable distribution strategy in the integrated LEO satellite and terrestrial user network will incur prolonged content access latency and significant overheads for users, due to obviously time-varying topology and limited on-board resources. In this paper, therefore, we proposed a back-tracing partition directed on-path caching mechanism for the publisher/subscriber distribution over the hybrid LEO constellation and terrestrial network. In the proposed mechanism, a back-tracing algorithm instructed node selection strategy is well-designed as well as a cross-slot graph based Dijkstra routing algorithm. Through avoiding intermittent connectivity as much as possible, the proposed mechanism could efficiently reduce the redundant transmissions of data access for different users, by fetching objective file mainly from a limited group of intermediate caching nodes, instead of directly from the source node. The simulation results verified the proposed method can obviously degrade the overall overheads and access delay of all users compared with the minimum spanning tree (MST) algorithm.
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基于反向跟踪分区的低轨道卫星与地面综合网络路径缓存分配策略
近年来,由于部署成本低、覆盖范围广,低地球轨道卫星和地面混合网络被广泛用于各种内容分发业务,如物联网、卫星传感器网络和战术分发网络。然而,在低轨道卫星与地面用户融合网络中,由于拓扑时变明显,星上资源有限,如果分布策略不合理,将导致内容访问延迟延长,用户开销巨大。因此,在本文中,我们提出了一种用于LEO星座和地面混合网络上发布者/订阅者分发的反向跟踪分区定向路径缓存机制。在该机制中,设计了一种反向跟踪算法指导的节点选择策略和一种基于交叉槽图的Dijkstra路由算法。该机制主要从一组有限的中间缓存节点获取目标文件,而不是直接从源节点获取目标文件,通过尽可能避免间歇性连接,可以有效减少不同用户数据访问的冗余传输。仿真结果表明,与最小生成树(MST)算法相比,该方法能明显降低所有用户的总体开销和访问延迟。
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