车联网移动云通信网络系统的设计与关键技术研究

发布时间：2018-03-07 21:28

本文选题：车联网　切入点：移动云计算　出处：《广东工业大学》2014年硕士论文　论文类型：学位论文

【摘要】：车联网具有典型的物联网体系架构,是物联网技术在智能交通领域的具体应用。建立高效的“人—车—路”车联网信息协同通信平台,可达到改善交通安全、减轻交通拥堵、减少空气污染、增强驾驶舒适性的目的。近年来,尽管信息科技发展迅速,但一些巨大挑战仍阻碍着车联网的发展。一方面,车辆终端因其有限的资源,包括计算资源、存储资源和带宽资源,导致低效的数据处理能力,难以支持车载多媒体应用、车载社交网络和基于位置的服务。另一方面,智能交通系统包含海量数据,海量数据采集和实时分析对当前ITS系统提出了挑战。云计算是近年来发展起来的一种新的计算形态,体现了一种全新概念的信息服务模式,它将计算任务分布在大量计算机构成的资源池上,使用户能够按需动态获取计算能力、存储空间和信息服务。随着移动互联网的发展,移动云计算(Mobile Cloud Computing, MCC)的发展如火如荼,该技术有效克服移动终端资源受限的缺陷,使得用户可以不受移动设备局限而随时随地享用网络服务。通信与计算的融合发展是未来通信业和计算业的发展方向,车联网是分布式系统,将车联网系统的资源整合统一可以为ITS系统提供强大的资源处理能力,提高资源的利用率,降低设施成本。同时,在快速移动车载环境中,通信与计算的融合克服移动终端资源受限的缺点,改善人们获取计算能力的使用体验。本文将车联网、云计算和移动云计算的最新发展相结合,设计基于cloudlet(微云)的车联网移动云系统,重点研究车联网移动云系统的中心云—路侧云—车载云三级网络结构,构建车联网移动云系统的技术体系,探索基于车联网移动云的新型应用,最后研究车联网移动云的关键技术,主要包括：车联网信息发布系统技术、一种基于博弈论模型的资源管理方案、车联网移动云的VM (Virtual Machine,虚拟机)迁移模式、以及在VM迁移过程中降低服务中断率的资源预留技术。本文的研究成果在建立我国自主知识产权的车联网云体系架构、促进移动云计算与智能交通交叉领域发展、提升智能交通服务水平等方面均有重要意义。
[Abstract]:Vehicle networking has a typical architecture of Internet of things, which is the concrete application of Internet of things technology in the field of intelligent transportation. The establishment of an efficient "man-vehicle-road" vehicle network information cooperative communication platform can improve traffic safety and reduce traffic congestion. The purpose of reducing air pollution and enhancing driving comfort. In recent years, despite the rapid development of information technology, a number of enormous challenges still hamper the development of the vehicle network. On the one hand, vehicle terminals, due to their limited resources, including computing resources, Storage resources and bandwidth resources lead to inefficient data processing, which makes it difficult to support vehicular multimedia applications, vehicular social networks and location-based services. On the other hand, intelligent transportation systems contain huge amounts of data. Mass data acquisition and real-time analysis challenge the current ITS system. Cloud computing is a new computing form developed in recent years, which embodies a new concept of information service model. It distributes computing tasks on a large number of computer resources pool, enabling users to dynamically acquire computing power on demand. Storage space and information services. With the development of mobile Internet, mobile cloud computing mobile mobile Cloud computing, the technology effectively overcome the limitations of mobile terminal resources, Users can enjoy network services anytime, anywhere and without limitation of mobile devices. The integration of communication and computing is the development direction of communication and computing industry in the future. Vehicle networking is a distributed system. Integrating the resources of vehicle networking system can provide a powerful resource processing capability for ITS system and improve the utilization rate of resources. At the same time, in the fast mobile vehicle environment, the fusion of communication and computing overcomes the limitation of mobile terminal resources, and improves people's experience of acquiring computing power. This paper combines the latest development of vehicle networking, cloud computing and mobile cloud computing, and designs a vehicle-networked mobile cloud system based on cloudlet. Build the technology system of the vehicle network mobile cloud system, explore the new application based on the vehicle network mobile cloud, finally study the key technology of the vehicle network mobile cloud, including: the vehicle network information release system technology, A resource management scheme based on game theory model, the VM Virtual Machine (VM) migration mode of the vehicle network mobile cloud, and the resource reservation technology to reduce the service outage rate in the VM migration process. The research results of this paper are of great significance in establishing our own intellectual property rights vehicle networking cloud architecture, promoting the development of mobile cloud computing and intelligent transportation, and improving the level of intelligent transportation services.
【学位授予单位】：广东工业大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TP391.44;TN929.5;U495

【引证文献】