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

ANET：未来移动社交网络的兴趣感知交付：TRACE 驱动的方法

• 批准号: 0832043
• 负责人: Ahmed Helmy
• 金额: $ 35.2万
• 依托单位: University of Florida
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-10-01 至 2013-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0832043&HistoricalAwards=false
• 关键词: ANET; Interest; Aware; Delivery; Future

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.

该项目引入了一种新的通信模式，称为profile-cast，以支持在移动的网络中的兴趣感知服务的新类别。与单播、多播或基于目录的范例不同，简档播送通过自我监控和挖掘技术使用隐式行为分析来推断用户兴趣。 隐私保护设计是一个高度优先事项。一个时空表示被引入到捕捉用户的行为空间内的兴趣。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。设计理念从对目标环境的测量进行深入分析开始，通过称为TRACE的系统框架驱动建模和协议设计。跟踪和监控行为，2。数据的表示和分析，3。使用数据挖掘技术表征行为概况，以及4.为未来的移动的社会设计移动的用户行为模型和有效的协议。 该项目解决了profile-cast和TRACE的设计和开发，并量化了它们的隐私保护，可扩展性，高效性，灵活性和鲁棒性的程度。这项研究的更广泛的影响包括实现新的社会价值服务类别，从移动的社会的导航到紧急警报系统。移动性模型的开发将提供新的和关键要素的成功，未来的移动的网络。该项目包括教育计划，让大学的学生参与使用轮廓投射设备，并将研究纳入佛罗里达大学和佛罗里达中北部K-12学校的课程。