NeTS: Small: A Timing Perspective on Information Dissemination in Vehicular Adhoc Networks

本项目关注车载自组织网络(VANET)的理论基础，它已成为设计网络协议、移动性模型和各种新应用的全新范例。这项技术源于车辆中的车载传感器、全球定位系统(GPS)接收器以及用于自组织网络的算法/协议，这些算法/协议实现了无需基础设施设备(例如，蜂窝系统中的基站)的车辆到车辆的通信。讨论了一个基本但仍未解决的问题：信息在车载自组织网络中的传播速度和效率如何？为了解决移动性引起的时间动态带来的独特挑战，我们采用了一种网络分析和物理信道开发的互补方法。该项目专注于三个问题：(1)开发和分析渗流VANET中车辆之间连接时间的新衡量标准，与传统的网络连接衡量标准形成对比。(2)探索衰落引起的信道变化对网络性能的影响，并开发结合了自适应传输技术的新的衰落预测辅助路由机制，例如速率和中继选择。(3)在高速移动和高动态车载网络中，确定信息传播的理论时限和容量与时延的权衡。随着车载通信向大规模和社会化网络的发展，该项目满足了对移动诱导信道和网络动力学基本原理的迫切和及时的需求，这些基本原理尚未得到系统的研究，但对路由协议设计、性能分析和估计的优化技术以及网络体系结构和拓扑的建模具有巨大的影响。

This project focuses on the theoretical foundations for vehicular ad hoc networks (VANETs), which have emerged as a radically new paradigm for the design of networking protocols, mobility models, and a variety of new applications. This technology has its roots in on-board sensors in vehicles, global position systems (GPS) receivers, and algorithms/protocols for ad hoc networks, which enable vehicle-to-vehicle communications without infrastructure equipment (e.g., base stations in cellular systems). A fundamental yet open issue is addressed: how rapidly and efficiently can information be disseminated in a vehicular ad hoc network? To address the unique challenges presented by mobility-induced time dynamics, a complimentary approach of networking analysis and physical channel exploitation is employed. The project focuses on three issues: (1) Development and analysis of new measures of connection times among vehicles in percolated VANETs, in contrast to traditional measures of network connectivity. (2) Exploration of the impact of fading-induced channel variation on network performance and development of new fading prediction-aided routing mechanisms that integrate adaptive transmission techniques, e.g. rate and relay selection. (3) Identification of the theoretical time limits of information dissemination and capacity-delay trade-offs when nodes move at high speeds and in highly dynamic vehicular networks. As vehicular communications advance large-scale and social networks, this project addresses an acute and timely demand for exploring fundamental principles of mobility-induced channels and network dynamics, which have not been studied systematically, but have tremendous impact on routing protocol designs, optimization techniques for performance analysis and estimation, and modeling of network architecture and topology.