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Analytic Bounds on Data Loss Rates in Mostly-Covered Mobile DTNs

机译:覆盖率最高的移动DTN中数据丢失率的解析界限

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摘要

We derive theoretical performance limits of densely covered delay-tolerant networks (DTNs). In the DTN model we study, a number of fixed (data collector) nodes are deployed in the DTN region where mobile (data generator) nodes move freely in the region according to Brownian motion. As it moves, each mobile is assumed to continuously generate and buffer data. When a mobile comes within the communication coverage range of a data collector node, the mobile immediately and completely uploads its buffered data to the data collector node, and then resumes generating and buffering its data. In this paper, we first derive analytic bounds on the amount of time a mobile spends without communication coverage. Then, using these derived bounds, we derive sufficient conditions on node density that statistically guarantee that the expected amount of time spent in the uncovered region remains below a given threshold. Additionally, we derive sufficient conditions on node density to keep the probability of buffer overflow below a given tolerance.
机译:我们得出密集覆盖的延迟容忍网络(DTN)的理论性能极限。在我们研究的DTN模型中,许多固定(数据收集器)节点部署在DTN区域中,其中移动(数据生成器)节点根据布朗运动在该区域中自由移动。随着移动,假定每个移动台都连续生成和缓冲数据。当移动站进入数据收集器节点的通信覆盖范围之内时,该移动站立即将其缓冲的数据完全上传到数据收集器节点,然后恢复生成和缓冲其数据。在本文中,我们首先推导出没有通信覆盖范围的移动设备所花费时间的解析边界。然后,使用这些导出的边界,我们得出节点密度的充分条件,这些条件可以统计地保证在未覆盖区域中花费的预期时间保持低于给定阈值。此外,我们在节点密度上得出了足够的条件,以将缓冲区溢出的概率保持在给定的容限以下。

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