TF-SING: A Theoretical Foundation of Spatio-Temporal Mobility Modeling and Induced Link-Level Dynamics

TF-SING：时空移动性建模和诱导链路级动态的理论基础

• 批准号: 0830680
• 负责人: Do Young Eun
• 金额: $ 27万
• 依托单位: North Carolina State University
• 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: 2008-09-01 至 2012-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0830680&HistoricalAwards=false
• 关键词: TF; SING; Theoretical; Foundation; Spatio

The usage of wireless devices unavoidably induce user mobility in diverse settings over multiple space/time scales, ranging from traditional cellular phone users and Wi-Fi users in moderate-to-dense networks, to nomadic users and mobile robots/sensors in multi-hop wireless ad-hoc networks and delay/disruption-tolerant networks over larger space/time scales. As mobile communications go to large-scale and social networks, there is an acute and timely demand for exploring fundamental principles in mobility-induced link-level dynamics, which has not been studied systematically, but have tremendous impact on a wide range of research areas, such as theoretic limits of algorithms, and protocols in mobile networks, optimization techniques for performance analysis and estimation, network architecture and topology control, distributed sensor-actuator networks, and modeling of social networks.The goal of this research is to develop a theoretical foundation for wireless mobile networks, through characterization of link-level dynamics by stochastic analysis approach. Specifically, the research focuses on (i) modeling, analysis, and statistical characterization of mobility-induced link dynamics, (ii) spatio-temporal dynamics in mobility modeling in multiple space/time scales rather than being dependent on networking environments a priori, and (iii) scaling limits for link-level metrics under various network operating regimes. The theoretical foundation of mobility modeling, which integrates multidisciplinary characteristics, will be used as an experimental concentration area to initiate innovative curriculum design of network science. The investigators develop new courses on networking theory, starting from graduate-level and transit to under-graduate level, by demonstrating the charm and rigorousness of theoretic work in tangible, attractive wireless mobile applications to undergraduate students and K-12 students.

无线设备的使用不可避免地会在多个空间/时间尺度上引起不同设置的用户移动性，从中度到密度的网络中的传统蜂窝电话用户和Wi-Fi用户到游牧的用户和移动机器人/传感器无线临时网络以及更大的空间/时间尺度上的延迟/耐受性网络。随着移动通信进入大规模和社交网络，人们对探索移动性引起的链接级动态的基本原理的急剧和及时的要求，该原理尚未系统地研究，但对广泛的研究领域产生了巨大影响，例如算法的理论限制以及移动网络中的协议，用于性能分析和估计的优化技术，网络体系结构和拓扑控制，分布式传感器实施者网络以及社交网络的建模。通过随机分析方法对链路级动力学的表征，无线移动网络基础。具体而言，该研究重点是（i）在多个时空/时间尺度中的移动性建模，（ii）移动性链接动力学的建模，分析和统计表征，（ii）在移动性建模中的时空动力学，而不是依赖于网络环境的先验环境，并且（iii）在各种网络操作制度下的链接级指标的缩放限制。整合多学科特征的移动性建模的理论基础将被用作实验集中领域，以启动网络科学的创新课程设计。调查人员通过展示了在有形，有吸引力的无线移动应用程序中为本科生和K-12学生展示理论工作的魅力和严格性，从研究生级和过阶层开发了有关网络理论的新课程。