移动分区网络的以移动为中心的地理广播

M. Piórkowski
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引用次数: 16

摘要

我们描述了我们为移动分区网络(mpn)设计的地理广播服务。我们主要关注最小化交付延迟。我们的方法利用了集体流动模式的时间稳定性。在mpn中,与manet相反,端到端路径经常不可用。因此,这种网络中的通信就成了问题。为了克服这一困难,研究人员提出了一种利用节点移动性的解决方案。这种模式通常被称为移动辅助转发。为了设计mpn的路由协议,研究人员研究了关键的移动性指标,例如节点之间的相互接触时间。通过对实际移动轨迹的分析,我们发现接触时间分布具有空间依赖性。这是空间异质性流动模式在时间上表现出稳定的结果。我们证明,任何设计用于mpn的地理路由协议都可以从了解这种潜在的移动模式中受益。我们提出了一种抽象的流动地图,它代表了集体流动模式。我们还介绍了如何将移动地图用于mpn中的地理定位,并展示了协作发现移动地图的简单机制。最后,我们提出了一个用于mpn的地理广播协议——GeoMobCast——它明确地使用了移动映射,旨在最小化预期的消息延迟,同时最大化消息传递。我们通过模拟对该协议进行了经验评估,并观察到与其他方法相比,该协议的性能有所提高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mobility-centric geocasting for mobile partitioned networks
We describe our design of a geocast service for mobile partitioned networks (MPNs). We focus mainly on minimizing the delivery latency. Our approach exploits the time-stability of the collective mobility pattern. In MPNs, in contrast to MANETs, the end-to-end path is frequently not available. Thus, communication in such networks becomes problematic. To overcome this difficulty, researchers propose a solution in which the nodepsilas mobility is exploited. This paradigm is often called mobility-assisted forwarding. In order to design routing protocols for MPNs, researchers study key mobility metrics, for example the inter-contact times between nodes. Based on the analysis of a real-life mobility trace, we show that the inter-contact time distribution is spatially dependent. This is a result of spatially heterogeneous mobility pattern that appears to be stable in time. We demonstrate that any georouting protocol designed to work in MPNs can benefit from knowing such an underlying mobility pattern. We propose an abstraction called mobility map that represents the collective mobility pattern. We also present how mobility maps can be used for georouting in MPNs and we also show a simple mechanism for the collaborative discovery of mobility maps. Finally, we propose a geocast protocol for MPNs - GeoMobCast - that explicitly uses mobility maps and is designed to minimize the expected message delay while maximizing the message delivery. We empirically evaluate the protocol by using simulations and we observe the improved performance, compared to other approaches.
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