NeTS: Small: Socially- and Geographically-Aware Modeling Framework for User Mobility in Wireless Networks

在设计、测试和评估无线网络及其协议时，移动性模型是不可或缺的工具。现在人们普遍认识到，流动模型应考虑到正在研究的区域的地理特征以及用户之间的社会关系和互动。该项目旨在开发一个统一而灵活的流动性建模框架，将影响用户移动方式的社会和地理因素结合在一起，并开发正式的统计学习方法，以使用真实的流动性数据来校准流动性模型。此外，该项目的一个重要成果是开发实现我们的模型的软件工具，可供研究人员和从业者用来评估移动系统和协议。该项目预计将对网络研究人员和从业者设计、测试和评估移动网络及其协议的方式产生重大影响。该项目还有一个重要的教育组成部分：从事这项研究的学生应该发展一个贯穿各领域的研究以及学术和背景。该项目的研究成果将通过项目网站传播，并在会议和期刊上发表技术论文。移动性生成软件工具也将通过该项目的网站免费提供。

Mobility models are an indispensable tool in the design, testing, and evaluation of wireless networks and their protocols. It is now widely recognized that mobility models should account for both geographical features of the region being studied as well as the social relations and interactions among users. This project aims to develop a unified yet flexible mobility modeling framework that combines both social and geography factors that influence how users move, and to develop formal statistical learning methods to calibrate mobility models using real mobility data. Additionally, an important deliverable of the project is to develop software tools that implement our models and can be used by researchers and practitioners to evaluate mobile systems and protocols.This project is expected to have significant impact on the way network researchers and practitioners design, test, and evaluate mobile networks and their protocols. The project also has an important educational component: students working on this research are expected to develop a crosscutting research and academic and background. Research results from this project will be disseminated through project Web site, and technical papers published in conferences and journals. The mobility generation software tool will also be freely available through the project's Web site.