Synthetic map-based mobility traces for the performance evaluation in opportunistic networks
Synthetic map-based mobility traces for the performance evaluation in opportunistic networks
复制标题
用于机会网络性能评估的基于合成地图的移动轨迹
DOI：
10.1145/1755743.1755769
复制
发表时间：
2010
期刊：
影响因子：
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通讯作者：
Matthias Schwamborn
中科院分区：
文献类型：
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作者：
N. Aschenbruck;Matthias Schwamborn
现实的，依赖于移动性建模的无线网络的可靠性能评估是至关重要的。对于机会网络，几个测量的运动轨迹是可用的。然而，为了测量场景的可扩展性和抽象性，需要合成移动性模型。在过去的十年中，已经提出了大量的综合流动性模型。然而，这些模型中有许多缺乏现实性。例如，他们没有以现实的方式考虑地理限制。
与此相反，现实地图是公开的。因此，这些地图可以帮助将地理限制整合到移动模型中。一种非常简单的方法是将基于位置的服务集成到场景建模工具中。在本文中，我们展示了这样的整合，并评估它的性能，以及。性能评估表明，即使使用基于位置的服务，场景生成的运行时间也很小。
Realistic, scenario-dependent mobility modeling is crucial for the reliable performance evaluation of wireless networks. For opportunistic networks several measured movement traces are available. However, for scalability and abstraction of the measured scenarios, synthetic mobility models are needed. In the last decade a significant number of synthetic mobility models have been proposed. However, many of these models lack realism. For example, they miss to consider geographic restrictions in a realistic way.
In contrast to this, realistic maps are publicly available. Thus, these maps can help integrating geographic restrictions into mobility models. A quite simple way is to integrate location-based services into a scenario modeling tool. In this paper we show such an integration and evaluate the performance of it, as well. The performance evaluation shows that the runtime for the scenario generation is pretty small, even though location-based services are used.