NeTS: Small: Collaborative Research: Analytic Modeling and Enhancement of Vehicular Ad Hoc Networks for Safety Related Applications

车辆自组织网络是智能交通系统的关键组成部分之一，它是为了安全、平稳地驾驶而开发的，不会造成过多的延误。为时间依赖性安全关键服务开发网络的一个主要障碍是缺乏既定的模型和指标。这使人们能够确定网络设计机制的有效性，以实现可预测的服务质量，并允许评估网络参数之间的权衡。这是Oral Roberts大学和杜克大学之间的合作研究项目，分析并建议增强车辆自组织网络中的安全关键服务。本项目研究了几个关键问题。首先，开发随机建模技术，解决典型交通场景下二维广播车联网的终端隐藏问题、重播覆盖问题等开放性问题。其次，为时间关键型安全服务的时间依赖分析开发了新的分析模型。因此，定义和分析了安全服务的性能、可靠性和生存能力指标。第三，设计和研究了确保应急信息可靠传递的新解决方案和基于跨层协议的新型分析模型。这项工作的广泛影响是，这项研究的结果被认为对关键任务的通用移动自组织网络的设计和分析有益。该项目为业界创造了新的合作机会。研究生和本科水平的课程都是为了将项目的科学发现与两所大学当前的教学活动相结合而开发的。

The vehicular ad hoc network is one of the key enabling components in Intelligent Transportation Systems that has been developed for safe and smooth driving without excessive delays. A major hurdle in the development of the networks for time-dependent safety-critical services is the lack of established models and metrics. These enable one to determine the effectiveness of the network design mechanisms for predictable quality of service, and allow the evaluation of the tradeoff between network parameters.This collaborative research project between Oral Roberts University and Duke University analyzes and suggests enhancements of safety-critical services in vehicular ad hoc networks. Several key issues are investigated in the project. First, the project develops stochastic modeling techniques to address some open problems, such as hidden terminal issues and rebroadcast coverage problems in two-dimensional broadcast vehicular networks under typical traffic scenarios. Second, new analytical models are developed for time-dependent analysis of time-critical safety services. Consequently, performance, reliability, and survivability metrics for the safety services are defined and analyzed. Third, new solutions to assure reliable delivery of emergency messages and novel analytical model based cross-layer protocols are designed and studied. Broad impact of the work is that the outcome of this research is deemed to be beneficial to the design and analysis of general mobile ad hoc networks for critical missions. This project creates new collaborative opportunities with the industry. Both graduate and under-graduate level courses are developed to integrate the scientific findings of the project with current teaching activities at the two universities.