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A Minimum Task-Based End-to-end Delivery Delay Routing Strategy With Updated Discrete Graph for Satellite Disruption-Tolerant Networks

机译:最小的基于任务的端到端传递延迟路由策略,带有更新的离散图,用于耐卫星干扰的网络

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Recently, a variety of time-varying graphs, such as space-time graph and event-driven graph, are widely employed for modelling the dynamic topologies of satellite Disruption-Tolerant Networking (DTN) network with periodic orbital motions of satellite platforms. As the major criterion of delivering a file of targeted data, however, Task-based End-to-end Delivery Delay (TEDD) is hardly evaluated by using the current methods of graphs due to their intrinsic incapability in precision. In this paper, a topology-driven Updated Discrete Graph (UDG) is proposed for confining the low bound of TEDD with a given delivery task by using a tailored edges capacity. In particular, a Minimum TEDD Routing Strategy (MTRS) is designed through solving a correspondingly integral Min-Max optimization problem. The simulation results verifies the advantage of MTRS for TEDD compared with two typical graph algorithms under a group of specific satellite network scenarios.
机译:近来,诸如时空图和事件驱动图的各种时变图被广泛地用于利用卫星平台的周期性轨道运动来对卫星抗干扰网络(DTN)网络的动态拓扑进行建模。但是,作为传递目标数据文件的主要标准,基于任务的端到端传递延迟(TEDD)几乎无法通过使用当前的图形方法进行评估,因为它们固有的精度不足。在本文中,提出了一种拓扑驱动的更新离散图(UDG),以通过使用量身定制的边缘容量来限制TEDD的下限与给定的传递任务。特别地,通过解决相应的整体最小-最大优化问题来设计最小TEDD路由策略(MTRS)。仿真结果验证了在一组特定的卫星网络情况下,MTRS与TEDD相比于两种典型图形算法的优势。

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