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Data-driven Human Mobility Modeling: A Survey and Engineering Guidance for Mobile Networking

机译：数据驱动的人员流动建模：移动网络的调查和工程指导

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摘要

Over the last decades, modeling of user mobility has become increasingly important in mobile networking research and development. This has led to the adoption of modeling techniques from other disciplines such as kinetic theory or urban planning. Yet these techniques generate movement behavior that is often perceived as not "realistic" for humans or provides only a macroscopic view on mobility. More recent approaches infer mobility models from real traces provided by positioning technologies or by the marks the mobile users leave in the wireless network. However, there is no common framework for assessing and comparing mobility models. In an attempt to provide a solid foundation for realistic mobility modeling in mobile networking research, we take an engineering approach and thoroughly discuss the required steps of model creation and validation. In this context, we survey how and to what extent existing mobility modeling approaches implement the proposed steps. This also summarizes helpful information for readers who do not want to develop a new model, but rather intend to choose among existing ones.
机译：在过去的几十年中，用户移动性的建模在移动网络研究和开发中变得越来越重要。这导致采用了其他学科的建模技术，例如动力学理论或城市规划。然而，这些技术产生的运动行为通常被认为对人类不是“现实”的，或者仅提供了关于运动的宏观视图。最近的方法根据定位技术或移动用户在无线网络中留下的标记提供的真实轨迹来推断移动性模型。但是，没有用于评估和比较流动性模型的通用框架。为了为移动网络研究中的现实移动性建模提供坚实的基础，我们采用一种工程方法，并彻底讨论了模型创建和验证所需的步骤。在这种情况下，我们调查了现有的移动性建模方法如何以及在何种程度上实现了建议的步骤。这也为不希望开发新模型而是打算在现有模型中进行选择的读者提供了有用的信息。

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