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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:基于最低任务的端到端交付延迟路由策略,具有更新的离散图,用于卫星中断宽容网络

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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:最近,广泛用于将卫星破坏性网络(DTN)网络的动态拓扑与卫星平台的周期性轨道运动进行建模的各种时变形图,例如时空图和事件驱动的图表。然而,作为提供目标数据文件的主要标准,几乎不评估基于任务的端到端输送延迟(TEDD),通过使用当前的图表,由于它们的固有内部不能精确地。在本文中,提出了一种拓扑驱动的更新的离散图(UDG),用于利用定制的边缘容量将TED的低界限限制。特别地,通过求解相应积分的最小最大优化问题,设计了最小TED路由策略(MTR)。仿真结果验证了与一组特定卫星网络场景下的两个典型图形算法相比MTR的优势。

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