异构车联网协作数据传输关键技术的建模分析及优化算法研究

项目名称： 异构车联网协作数据传输关键技术的建模分析及优化算法研究

项目编号： No.61501102

项目类型： 青年科学基金项目

立项/批准年度： 2016

项目学科： 无线电电子学、电信技术

项目作者： 胡曦

作者单位： 东北大学

项目金额： 20万元

中文摘要： 车联网是智能交通系统的信息服务支撑，其网络结构复杂、网络特点鲜明、应用服务多样，给相关通信技术的研究和发展带来了许多挑战。本项目致力于车联网信息服务中的高效数据传输技术，充分结合网络特点和应用形式，主要开展三项研究工作：（1）基于博弈建模的广播效率分析及广播优化算法研究；（2）基于议价博弈的节点协作传输算法研究；（3）车联网异构环境下自适应数据传输算法研究。本项目的主要贡献有：（1）从基础理论层次上对广播效率问题进行了深入分析，为优化数据广播提供了理论依据；（2）对混合式数据传输中节点协作进行了建模研究，给出了获得最优的节点协作策略的方法；（3）使用“三段式”研究方法设计自适应传输算法。本项目工作对于车联网的发展具有前瞻性和借鉴性，能够为车联网数据传输技术的完善提供有力的理论支持和应用保障。

中文关键词： 异构车联网；协作数据传输；建模分析；优化算法

英文摘要： Vehicular ad hoc network (VANET) is the information service supporting of intelligent transportation system. Its complex network structures, distinct network characteristics and diverse application services all challenge the research and development of communication technologies. This project aims to high-performance communication technologies of VANET and it fully takes network characteristics and application forms into consideration to resolve three key issues: (1) Game-based modeling analysis of broadcast efficiency and study of optimization data broadcasting algorithm; (2) Study of bargain game-based node cooperative transmission algorithm; (3) Study of self-adaptive data transmission algorithm for heterogeneous VANETs. The main contributions of this project are: (1) It deeply analyzes the broadcast efficiency with the fundamental theory method, which is the theoretical foundation of optimization broadcasting design; (2) It studies the node cooperation of hybrid data transmission based on modeling, and gives the way to obtain optimal strategy of node cooperation; (3) It uses “three-phase” study method to design self-adaptive data transmission algorithm. This project has the forward-looking and reference for the development of VANET, and provide powerful theoretical support and application security to improve the data transmission technologies of VANET.

英文关键词： Heterogeneous vehicular ad hoc network;Cooperative data transmission;Modeling analysis;Optimization algorithm