安全和高效的异构车联网融合理论与海量数据分析方法研究

项目名称： 安全和高效的异构车联网融合理论与海量数据分析方法研究

项目编号： No.U1405251

项目类型： 联合基金项目

立项/批准年度： 2015

项目学科： 管理科学

项目作者： 陈彩莲

作者单位： 上海交通大学

项目金额： 255万元

中文摘要： 车联网正从传统的车载自组织网络(VANET)演进成为一种融合多种网络、面向计算和服务的综合性平台—IoV(Internet of Vehicles)，它对智能交通系统(ITS)这一物联网典型应用领域的发展具有重要意义。如何构建安全和高效的IoV以应对海量异构数据处理和多样化服务需求，成为ITS迫切需要解决的挑战性问题。本项目以实现IoV感知接入层的安全互通和数据层的高效互融为目的，围绕异构网络协同融合理论和海量数据处理两个科学问题，开展异构网络自主切换和按需传输、基于群车智能的海量数据汇聚和分析、安全和隐私保护机制设计三方面研究工作，形成异构网络组网与实时交通匹配、群车智能与数据融合匹配、安全机制和异构网络融合匹配的综合性IoV解决方案，并构建实验和应用平台。预期成果将为IoV面临的重要科学问题和技术问题提供理论框架和设计方案，为促进物联网的异构泛在融合与海量信息处理具有重要的指导意义。

中文关键词： 车联网；异构网络融合；海量数据分析；群智感知；安全和隐私

英文摘要： The traditional vehicular ad hoc network (VANET) is evolving into a comprehensive computation oriented service platform with facilitations of heterogeneous network integration, which is termed as Internet of Vehicles (IoV). It is of significant importance for the development of Intelligent Transportation System (ITS) which is one of the typical applications of Internet of Things. It has become a big challenge for ITS on how to construct a secure and efficient IoV to deal with the mass data and satisfy various of services. In order to solve the two main problems on network integration and mass data analysis, a systematical framework is proposed in this proposal, which matches the real-time traffic requirements with network infrastructure heterogeneity, couples the collective intelligence of vehicles and data fusion, and accommodates security into heterogeneous networks. The proposed mechanisms will be implemented in a large-scale practical test bed. The purpose of the project is to accomplish secure communications within the data sensing in access layers and effective data fusion in data layer of IoV. The goal can be achieved through realizing distributed self-adaptive handover within heterogeneous networks and service-oriented transmission, crowdsensing of vehicles and mass data gathering and analysis, and security and privacy-preserving mechanism design. The results of the project will not only provide a theoretical framework and design solution for IoV under the mass data service requirement, but also provide guidance and application demonstrations for the pervasive computing and mass data processing in Internet of things.

英文关键词： Internet of Vehicles;Heterogeneous network integration;Huge data analysis;Crowdsensing;Security and privacy