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引起了多个时空/时间尺度上不同设置中的用户移动性，从中等到密度的网络中的传统蜂窝电话用户和Wi-Fi用户到中等密度的用户，到游牧的机器人/传感器，以及多跳的无线无线网络中的移动机器人/传感器，以及更大的上限/时间尺度。随着移动沟通进入大规模和社交网络，在探索流动性诱导的链接级动力学中的基本原理方面有一个急剧，及时的需求，该原理尚未进行系统的研究，但对各种研究领域具有巨大的影响，对算法的理论局限性以及在移动网络的理论限制，以及移动网络的理论范围，以及在移动网络中的理论界定和协议，并进行了架构分析和估算，并且构造了架构分析，既定分析，并且估算了既定的分析，并且估算了构造，并且估算了构造，并且估算了分析和估算，并估算了范围内的研究领域。传感器传动网络和社交网络的建模。这项研究的目的是通过通过随机分析方法来表征链接级动力学来为无线移动网络建立理论基础。具体而言，该研究的重点是（i）迁移率诱导的链路动力学的建模，分析和统计表征，（ii）在多个时空/时间尺度中的流动性建模中时空动力学，而不是依赖于网络环境的先验环境，以及（iii）在各个网络操作机构下的链路级别级别级别级别的限制。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，开发了有关网络理论的新课程，从研究生级和过阶层到本科生。