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计算机工程 ›› 2021, Vol. 47 ›› Issue (10): 153-159. doi: 10.19678/j.issn.1000-3428.0059439

• 移动互联与通信技术 • 上一篇    下一篇

一种车载自组织网络连通性维护方法

曹乐, 胡晓辉, 乔钰   

  1. 兰州交通大学 电子与信息工程学院, 兰州 730070
  • 收稿日期:2020-09-04 修回日期:2020-11-10 发布日期:2020-11-25
  • 作者简介:曹乐(1996-),女,硕士研究生,主研方向为车载自组织网络;胡晓辉,教授;乔钰,硕士研究生。
  • 基金资助:
    国家自然科学基金(11461038);甘肃省科技支撑计划(2020A-033)。

A Connectivity Maintenance Method for Vehicular Ad Hoc Network

CAO Le, HU Xiaohui, QIAO Yu   

  1. School of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China
  • Received:2020-09-04 Revised:2020-11-10 Published:2020-11-25

摘要: 车载自组织网络(VANET)中的高速移动性节点和动态的网络拓扑结构使得车辆间通信链路存在传输时延长、连接时间短的问题。通过引入双簇头选择算法,提出一种改进的AODV路由协议(AODV-CMIRP),用于VANET的连通性维护。利用分簇技术降低全局网络拓扑的动态性,通过引入节点的相对移动度和相对速度作为簇头选择指标,并选取辅助簇头节点以延长车载自组织网络整体生存时间。仿真结果表明,在保证网络连通性和稳定性的前提下,相比CBDRP和AODV协议,AODV-CMIRP协议具有较低的平均端到端时延和较高的分组投递率,能够有效延长簇头生存时间并提高网络的稳定性。

关键词: 车载自组织网络, 双簇头, 路由协议, 簇头生存时间, 平均端到端时延

Abstract: Vehicular Ad Hoc Networks(VANET) are characterized by high-speed mobile vehicle nodes and dynamic network topology, which increases the transmission delay of communication links between vehicles and reduces connection time.For the maintenance of VANET connectivity, this paper proposes an improved AODV routing protocol, AODV-CMIRP, which introduces a selection algorithm based on dual cluster heads to reduce the influence of dynamic changes of the global network topology.The relative mobility and relative speed of nodes are introduced as the index of cluster head selection, and the auxiliary cluster head node is selected to ensure the overall lifetime of VANETs.The simulation results show that the AODV-CMIRP protocol can ensure the network connectivity and stability while exhibiting a lower average end-to-end delay and higher packet delivery fraction than CBDRP and AODV protocols.The proposed protocol can effectively prolong the cluster head lifetime and improve network stability.

Key words: Vehicular Ad Hoc Network(VANET), dual cluster heads, routing protocol, cluster head lifetime, average end-to-end delay

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