面向车载自组网Anycast的机会性网络资源多尺度优化配备机理研究

项目名称： 面向车载自组网Anycast的机会性网络资源多尺度优化配备机理研究

项目编号： No.61502018

项目类型： 青年科学基金项目

立项/批准年度： 2016

项目学科： 自动化技术、计算机技术

项目作者： 田锐

作者单位： 北京工业大学

项目金额： 21万元

中文摘要： 近年来，车联网应用吸引了社会各界广泛关注。车辆动态信息采集是车联网的重要应用，但由于车辆数目众多，动态信息数据量庞大，通信资源紧缺成为制约其深入发展的重要因素。车载自组织网络因为数据传输成本较低，尤其适合于大量数据的上传。Anycast是一种较常见的自组网消息上传方式，但由于车辆移动随机性强，使得路由性能很难保障。目前国内外围绕车载自组网Anycast的理论研究成果较少，因此我们设立本项目对Anycast机制开展研究。本项目以提高数据上传总体吞吐量为目标，以优化车辆间通信机会配置为原则，设计用于大规模车况持续采集的Anycast消息转发机制，重点从微观尺度上研究通信机会的优化使用，从宏观尺度上研究通信机会的均衡分配，并设计轻量级的Anycast转发实现方法。本项目的研究成果将为基于车载自组网的大数据量信息采集提供一套完整的解决方案，为解决大规模车辆动态信息采集带宽资源不足问题提供重要思路。

中文关键词： 车载自组织网络；车辆间通信；移动性模型；数据采集；泛播

英文摘要： Internet of cars has attracted much attention in recent years. Dynamic vehicle information gathering is one of the most representative applications for Internet of cars. However, its development has been restricted much due to the shortage of bandwidth resources. The vehicular ad hoc network has relative low transmission cost and is especially suitable for uploading mass data onto internet. In such type applications, anycast is usually used to routing data from many sources to relative few destinations. In VANETs, vehicles move quite randomly, and the network performance is very hard to guarantee. Considering there is comparative little work investigating anycast routing mechanism, we set up this project. Targeting at improving data uploading throughput, and with the principle of refining communication opportunities utilization, we investigate anycast routing mechanism for large scale dynamic vehicle condition collection. We study on micro-scale how to optimize the usage of communication opportunities, and also study on macro-scale how to allocate communication opportunities among different packets. Besides then, we also propose a light-weight implementation mechanism for anycast routing. The research results of this project will offer a full range of solutions for mass data collection through VANETs, as well as provide an important idea to address the serious bandwidth shortage problem.Internet of cars has attracted much attention in recent years. Dynamic vehicle information gathering is one of the most representative applications for Internet of cars. But its scale has been restricted much do to the shortage of bandwidth resources. The vehicular ad hoc network has relative low transmission cost and is especially suitable for uploading mass data onto internet. In such type applications, anycast is usually used to routing data from many sources to relative few destinations. But in VANETs, vehicles move quite randomly, and the network performance is hard to guarantee. Considering there is comparative little work investigating anycast routing mechanism, we set up this project. Targeting at improving data uploading throughput, with the principle of refining communication opportunities utilization, we investigate anycast routing mechanism for large scale dynamic vehicle condition collection. We study on micro-scale how to optimize the usage of communication opportunities, and also study on macro-scale how to allocate communication opportunities among different packets. Besides then, we also propose a light-weight implementation mechanism for anycast routing. The research results of this project will offer a full range of solutions for mass data collection through VANETs, as well as provide an important idea to address the serious bandwidth shortage problem.

英文关键词： Vehicular ad hoc network;v2v communication;mobility model;data collection;anycast