项目名称: 基于移动特征分析的异构车载网络移动性管理技术研究
项目编号: No.61300183
项目类型: 青年科学基金项目
立项/批准年度: 2014
项目学科: 自动化技术、计算机技术
项目作者: 时岩
作者单位: 北京邮电大学
项目金额: 23万元
中文摘要: 移动性管理是保证通信连续性的关键技术。异构车载网络中多样化的通信场景和网络拓扑高度动态性,使得移动性管理面临功能和性能上的更多挑战,全面、准确地描述移动性特征及其规律是非常重要而又极具挑战性的工作,进而将其用于移动性管理关键技术研究,具有重要的理论意义和应用价值。本课题以移动特征参数体系定义为基础,以移动特征参数的分析方法为手段,全面准确刻画车载网络移动性的特殊性及其规律。并将其用于主机移动性和群组移动性场景中移动性决策和移动性管理方案设计两个关键技术的研究:基于移动预测和连通性预测提出主机移动性决策算法;基于移动特征设计适应节点移动特征的主机移动性管理技术方案;基于群组特征和拓扑分析提出动态分群算法;设计适应群组移动特征的群组移动性管理技术方案。通过上述研究为异构车载网络中的通信连续性与移动性管理性能优化提供科学方法和依据。
中文关键词: 异构车载网络;移动特征;移动性管理;主机移动性;群组移动性
英文摘要: Mobility management is the critical technology for providing communication continuity. Mobility management in heterogeneous vehicular networks (HVN) faces new challenges in function and performance because of abundant communication scenarios and high dynamics in topology. Integrated and accurate description of the mobility metrics and the laws in an important but challenging issue. In addition, applying them in research on mobility management in HVN is of great importance for function and performance improvement. Firstly, the mobility metrics will be derived from the technical requirements, and then be classified, defined, abstracted, modeled and derived. The multidimensional description of the mobility characteristics of mobile nodes and groups at different levels can be achieved accordingly. Secondly, the above mobility metrics will be used in research on mobility decision and mobility management protocol design in HVN, including: 1) to propose mobility prediction and connectivity prediction algorithms based on node mobility metrics, which will be used for mobility decision in host mobility; 2) to propose host mobility management protocols adaptive to mobility metrics; 3) to propose dynamic clustering algorithms based on group metric and topology analysis, which is composed of cluster formation, cluster he
英文关键词: heterogeneous vehicular network;mobility metrics;mobility management;host mobility;group mobility