车联网环境下的数据交换理论与技术研究

With the development of new applications, such as Internet of Things, Mobile Computing and so on, there are great variety of information service in Vehicular Networks, which bring forward the new requirement for traffic safety. Some characteristics of Vehicular Networks, e.g. high mobility, network partition and heterogeneity, make the data exchanging, e.g. data transmitting and routing, become the basic technology in most applications. On analysis of the current situation and the future trend in development of Vehicular Networks, this project will conducts the research on urgent safe-applications and non-safe-applications based on a hierarchical model of Vehicular Networks. Therefore, it will resolve the problem of reliability and timeliness in data exchanging by using the multi-scenario routing mechanism while adopting the directed broadcasting based on Cognitive Radio. Thus, it will guarantee the timely delivery for safety related data as well as the utmost delivery for non-safe data. Draw attention to the research on new methods of data exchanging, such as multi-purpose optimization, multiple social attribute and opportunity frequency access, with focus of heterogeneity and multi-scenario. This project will analyze and evaluate those proposed model and protocols by setting up a semi-physical simulation platform. It will form some new theoretical models and implement mechanisms, which will put forward the development of China Vehicular Networks.

物联网、移动计算等新型应用的发展，推动了车联网信息服务功能的多样化，也提出了保障交通安全的新需求。高移动性、间歇连接、异构网络等特性使得车联网的数据交换理论与技术成为车联网众多应用的核心支撑。本项目在充分分析车联网现状和未来发展趋势的基础上，研究面向安全和非安全应用的车联网层次化模型，通过基于不同场景的车联网路由机制和基于认知无线电的有向广播分发机制解决车联网环境下数据交换的可靠性和及时性等难题，保障安全相关信息的及时传递和非安全信息的尽力传递。项目围绕层次化和多场景，研究了基于多目标优化、多重社会属性、机会频谱接入等策略的数据交换新方法，并通过搭建半实物仿真验证平台，对提出的模型和协议进行分析与评估。本项目将形成车联网数据交换的新型理论模型与实现机制，研究成果将有力推动我国车联网的发展。

物联网、移动计算等新型应用的发展，推动了车联网信息服务功能的多样化，也提出了保障交通安全的新需求。高移动性、间歇连接、异构网络等特性使得车联网的数据交换理论与技术成为车联网的核心技术。本项目的主要研究内容包括两大部分：车联网体系结构模型、保障数据交换的协议与算法。本项目充分分析了车联网现状和未来发展趋势，提出了面向安全和非安全应用的车联网层次化模型，在该模型思想下提出了基于不同场景的多种路由方案、基于S-disjunct码的MAC层接入协议和克服用户自私性的公平绿色中继选择机制，解决了车联网环境下数据交换的可靠性和及时性等难题，保障安全相关信息的及时传递和非安全信息的尽力传递。项目围绕层次化和多场景，研究了基于多目标优化、多重社会属性等策略的数据交换新方法，通过理论推导、仿真实验等手段对提出的模型和协议进行分析与评估，得到大量的关键数据和有意义的结论。本项目形成了车联网数据交换的新型理论模型与实现机制，研究成果将有力推动我国车联网的发展。