Crowdsensing mobile content and context data: Lessons learned in the wild

K. Jaffrès-Runser, G. Jakllari, Tao Peng, Vlad Nitu
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引用次数: 8

Abstract

This paper discusses the design and development efforts made to collect data using an opportunistic crowdsensing mobile application. Relevant issues are underlined, and solutions proposed within the CHIST-ERA Macaco project for the specifics of collecting fine-grained content and context data are highlighted. Global statistics on the data gathered for over a year of collection show its quality: Macaco data provides a long-term and fine-grained sampling of the user behavior and network usage that is relevant to model and analyse for future content and context-aware networking developments.
众测移动内容和环境数据:野外经验教训
本文讨论了设计和开发工作所做的收集数据,使用机会主义众感移动应用程序。强调了相关问题,并重点介绍了在CHIST-ERA Macaco项目中针对收集细粒度内容和上下文数据的具体问题提出的解决方案。一年多来收集的数据的全球统计数据显示了它的质量:Macaco数据提供了用户行为和网络使用的长期和细粒度抽样,这与未来内容和上下文感知网络发展的建模和分析相关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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