ANET: Interest-Aware Delivery for Future Mobile Social Networks: A TRACE-driven Approach

该项目引入了一种新的通信范例，称为Profile-Cast，以支持移动网络中新的兴趣感知服务。与单播、多播或基于目录的范例不同，简档广播通过自我监控和挖掘技术使用隐式行为简档来推断用户兴趣。保护隐私的设计是高度优先的。引入时空表示法来捕捉行为空间中用户的兴趣。用户基于他们在这样的空间中的位置来识别兴趣的相似性。该设计思想从对来自目标环境的测量的深入分析开始，该测量通过称为TRACE的系统框架来驱动建模和协议设计。跟踪的组件包括：1.跟踪和监视行为，2.表示和分析数据，3.使用数据挖掘技术表征行为配置文件，以及4.为未来的移动社会设计移动用户行为模型和有效的协议。该项目致力于配置文件转换和跟踪的设计和开发，并量化它们保护隐私、可扩展、高效、灵活和健壮的程度。该研究的更广泛影响包括启用新的社会价值服务类别，从移动社会的导航到紧急警报系统。开发的移动模型将为未来移动网络的成功提供新的关键要素。该项目包括让该大学的学生使用个人资料转换设备的教育计划，并将这项研究纳入佛罗里达大学的课程，以及佛罗里达州中北部的K-12学校。

This project introduces a novel communication paradigm, called profile-cast, to support new classes of interest-aware services in mobile networks. Unlike unicast, multicast or directory-based paradigms, profile-cast infers user interest using implicit behavioral profiling via a self-monitoring and mining technique. Privacy preserving design is a high priority. A spatio-temporal representation is introduced to capture users' interest within a behavioral-space. Users identify similarity of interest based on their position in such space. The design philosophy begins by intensive analysis of measurements from the target context that drives the modeling and protocol design through a systematic framework, called TRACE.Components of TRACE include: 1. Tracing and monitoring of behavior, 2. Representing and Analyzing the data, 3. Characterizing behavioral profiles using data mining techniques, and 4. designing mobile user behavioral models and efficient protocols for future mobile societies. This project tackles the design and development of profile-cast and TRACE, and quantifying the extent to which they are privacy-preserving, scalable, efficient, flexible and robust.The broader impacts of this research include enabling new classes of socially valuable service, from navigation of mobile societies, to emergency alert systems. The mobility models developed will provide novel and key elements for the success of future mobile networks. The project includes education plan to involve students at the university in using profile-cast devices and to integrate the research into curricula both at the University of Florida, and into K-12 schools in north-central Florida.