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

NeTS: Small: Collaborative Research: Analytic Modeling and Enhancement of Vehicular Ad Hoc Networks for Safety Related Applications
NeTS:小型:协作研究:用于安全相关应用的车辆自组织网络的分析建模和增强
批准号:
1017722
负责人:
Kishor Trivedi
金额:
$14.75万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2010
资助国家:
美国
项目状态:
已结题
起止时间:
2010-08-01 至 2014-07-31

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中文摘要
翻译
车载自组织网络是智能交通系统中的关键使能组件之一,其已被开发用于安全和平稳的驾驶而没有过多的延迟。时间依赖的安全关键服务的网络的发展中的一个主要障碍是缺乏既定的模型和指标。这些使人们能够确定可预测的服务质量的网络设计机制的有效性,并允许网络parameters.This口腔罗伯茨大学和杜克大学之间的合作研究项目之间的权衡评估分析,并建议在车辆ad hoc网络的安全关键服务的增强。在该项目中的几个关键问题进行了调查。首先,该项目开发随机建模技术,以解决一些开放的问题,如隐藏终端问题和转播覆盖问题,在二维广播车辆网络在典型的交通场景。第二,新的分析模型开发的时间依赖性分析的时间关键的安全服务。因此,性能,可靠性和生存性指标的安全服务的定义和分析。第三,设计和研究了新的解决方案,以确保紧急消息的可靠传递和新的分析模型为基础的跨层协议。广泛的影响的工作是,这项研究的结果被认为是有益的一般移动的ad hoc网络的关键任务的设计和分析。该项目创造了与行业合作的新机会。研究生和本科生课程的开发是为了将该项目的科学成果与两所大学目前的教学活动相结合。
英文摘要
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.
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