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Reliable Topology Design in Time-Evolving Delay-Tolerant Networks with Unreliable Links

机译:具有不可靠链路的时变时延容忍网络中的可靠拓扑设计

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摘要

Delay tolerant networks (DTNs) recently have drawn much attention from researchers due to their wide applications in various challenging environments. Previous DTN research mainly concentrates on information propagation and packet delivery. However, with possible participation of a large number of mobile devices, how to maintain efficient and dynamic topology becomes crucial. In this paper, we study the topology design problem in a predictable DTN where the time-evolving topology is known a priori or can be predicted. We model such a time-evolving network as a weighted directed space-time graph which includes both spacial and temporal information. Links inside the space-time graph are due to either the dynamic nature of wireless communications or the rough prediction of underlying human/device mobility. The purpose of our reliable topology design problem is to build a sparse structure from the original space-time graph such that (1) for any pair of devices, there is a space-time path connecting them with a reliability higher than the required threshold; (2) the total cost of the structure is minimized. Such an optimization problem is NP-hard, thus we propose several heuristics which can significantly reduce the total cost of the topology while maintain the “reliable” connectivity over time. In this paper, we consider both unicast and broadcast reliability of a topology. Finally, extensive simulations are conducted on random DTNs, a synthetic space DTN, and a real-world DTN tracing data. Results demonstrate the efficiency of the proposed methods.
机译:由于延迟耐受网络(DTN)在各种挑战性环境中的广泛应用,最近引起了研究人员的广泛关注。以前的DTN研究主要集中在信息传播和数据包传递上。但是,随着大量移动设备的参与,如何保持高效和动态拓扑变得至关重要。在本文中,我们研究了可预测DTN中的拓扑设计问题,其中随时间变化的拓扑是先验的或可以预测的。我们将这样一个随时间变化的网络建模为包含空间和时间信息的加权有向时空图。时空图内部的链接是由于无线通信的动态性质或对潜在的人/设备移动性的粗略预测。我们可靠的拓扑设计问题的目的是从原始的时空图构建一个稀疏结构,使得(1)对于任何一对设备,都有一条时空路径连接它们,其可靠性高于要求的阈值; (2)结构的总成本最小化。这样的优化问题是NP难题,因此我们提出了几种启发式方法,它们可以显着降低拓扑的总成本,同时随着时间的推移保持“可靠”的连接性。在本文中,我们同时考虑了拓扑的单播和广播可靠性。最后,对随机DTN,合成空间DTN和实际DTN跟踪数据进行了广泛的模拟。结果证明了所提出方法的有效性。

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