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arXiv 0912.3441cs.NIcs.ITmath.IT
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移动容迟网络中的空时容量限制

On Space-Time Capacity Limits in Mobile and Delay Tolerant Networks

Philippe Jacquet, Bernard Mans, Georgios Rodolakis

摘要:

我们调查的基本容量限制的时空旅程的信息在移动和延迟容忍网络(DTNs),其中信息是由移动节点传输或携带,使用存储-携带-转发路由。我们定义了旅行的容量(即,从源到目的地的空间和时间中的路径)作为在给定行程中可以从源传送到目的地的最大数据量。结合一个随机模型(传送所有可能的旅程)和分析的持续时间的节点的遭遇,我们研究的行程,最大限度地提高时空信息的传播能力,比特米每秒的属性。更具体地说,我们提供了理论上的信息传播速度的下限和上限,作为行程容量的函数。在随机路点类模型的特定情况下(即,当节点在改变方向之前移动网络域大小的数量级的距离时),我们表明,对于相对大的行程容量,信息传播速度与移动节点速度具有相同的数量级。这意味着,令人惊讶的是,在稀疏但大规模的移动DTNs中,以比特米每秒为单位的空时信息传播容量保持与移动节点速度和传输数据束的大小成比例,当束相对较大时。我们还验证了我们所有的分析界限是准确的,在几个模拟场景。

英文摘要:

We investigate the fundamental capacity limits of space-time journeys of information in mobile and Delay Tolerant Networks (DTNs), where information is either transmitted or carried by mobile nodes, using store-carry-forward routing. We define the capacity of a journey (i.e., a path in space and time, from a source to a destination) as the maximum amount of data that can be transferred from the source to the destination in the given journey. Combining a stochastic model (conveying all possible journeys) and an analysis of the durations of the nodes' encounters, we study the properties of journeys that maximize the space-time information propagation capacity, in bit-meters per second. More specifically, we provide theoretical lower and upper bounds on the information propagation speed, as a function of the journey capacity. In the particular case of random way-point-like models (i.e., when nodes move for a distance of the order of the network domain size before changing direction), we show that, for relatively large journey capacities, the information propagation speed is of the same order as the mobile node speed. This implies that, surprisingly, in sparse but large-scale mobile DTNs, the space-time information propagation capacity in bit-meters per second remains proportional to the mobile node speed and to the size of the transported data bundles, when the bundles are relatively large. We also verify that all our analytical bounds are accurate in several simulation scenarios.

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