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在多个空间/时间尺度上的不同设置中引起用户移动性，范围从中等到密集网络中的传统蜂窝电话用户和Wi-Fi用户到多跳无线自组织网络和更大空间/时间尺度上的延迟/中断容忍网络中的游牧用户和移动的机器人/传感器。随着移动的通信向大规模和社交网络发展，迫切需要探索移动性引起的链路级动力学的基本原理，这一问题尚未得到系统的研究，但对广泛的研究领域产生了巨大影响，如移动的网络中算法和协议的理论限制，性能分析和估计的优化技术，网络结构与拓扑控制、分布式传感器-执行器网络、社交网络建模等方面的研究，旨在通过随机分析方法对链路级动态特性进行表征，为无线移动的网络的研究奠定理论基础。具体而言，研究重点是（一）建模，分析和统计特性的移动性引起的链路动态，（二）时空动态的移动性建模在多个空间/时间尺度，而不是依赖于网络环境的先验，和（iii）缩放限制下的各种网络操作制度的链路级指标。整合多学科特性的移动建模理论基础将作为实验集中区，启动网络科学创新课程设计。研究人员开发网络理论的新课程，从研究生水平和过渡到本科生水平，通过展示有形的，有吸引力的无线移动的应用的理论工作的魅力和严谨性，本科生和K-12学生。