车用网络拓扑控制算法研究

发布时间：2018-03-13 07:17

本文选题：车用网络　切入点：拓扑控制　出处：《电子科技大学》2014年硕士论文　论文类型：学位论文

【摘要】：车用网络是智能交通系统技术的典型技术,现在车用网络的拓扑控制已越来越受关注。车用网络具有的最鲜明的特点是车用网络中的节点高速移动,拓扑变化迅速,网络中的逻辑拓扑复杂冗余。良好的通信拓扑能够提高网络中的路由的效率、减少车用网络中的通信拥堵、通信冲突。目前已经存在的车用网络的拓扑控制算法的大体思想,都是基于分簇的思想,考虑到车用网络的移动性,分簇控制算法中的拓扑生成和拓扑维护需要频繁发生,效率不高。所以如何设计拓扑控制算法,为车用网络中的路由提供稳定的拓扑,是车用网络中亟待解决的问题。首先,本文针对车用网络典型场景,在研究了生物群集系统和车用网络相似性的基础上,提出了基于Vicsek模型的VANETs动态预测模型。以VANETs动态预测模型为基础,提出了一种拓扑预测方法,能预测车用网络的拓扑,我们用网络仿真工具NS3对拓扑预测算法进行了仿真,仿真结果表明,该预测方法具有很好的可行性。其次,根据VANETs动态预测模型,得到了车用网络的节点骨干可靠度,创造性地将节点骨干可靠度因素、节点的速度因素、相对目的地因素和节点距离路旁系统的远近因素相结合,提出了节点可靠度评价模型。针对车用网络中的车与车近距离的通信场景,综合运用拓扑预测方法和节点可靠度评价模型,提出了车间局部通信拓扑控算法,对该算法的端到端的时延和投包率进行了仿真,结果表明,该算法能够很好适应车用网络的动态性,提高了车间局部通信的效率。最后,本文针对车用在线通信中的车辆通过路旁系统从网络中下载音乐的典型应用场景,将路旁系统考虑进了拓扑控制算法中,提出了解决车辆向路旁系统发送下载音乐的请求信息的上行过程中的拓扑控制方法,以及路旁系统下载到音乐后向目标车辆传送信息的下行过程中的拓扑控制算法。车用在线通信的拓扑控制算法综合考虑了路旁系统、节点的速度因素、节点骨干可靠度、节点相对目的地因素、节点距离路旁系统的远近因素。通过对拓扑控制算法仿真,仿真结果表明,随着车辆数目的增加,拓扑控制算法在端到端的时延和投包率方面性能都比较好。综上述,本文设计的拓扑控制算法能够很好适应车用网络的动态性的特点,算法性能比较好,改善了车用网络的拓扑控制。
[Abstract]:Vehicle network is a typical technology of intelligent transportation system, and the topology control of vehicle network has been paid more and more attention. The most distinctive characteristic of vehicle network is that the nodes in the vehicle network move at high speed and the topology changes rapidly. The logical topology in the network is complex and redundant. The good communication topology can improve the efficiency of the routing in the network, reduce the communication congestion and communication conflict in the vehicle network. Considering the mobility of vehicle network, topology generation and topology maintenance in clustering control algorithm need to occur frequently, so how to design topology control algorithm, To provide a stable topology for routing in vehicle networks is an urgent problem to be solved. Firstly, based on the study of the similarity between the biological cluster system and the vehicle network, aiming at the typical scene of vehicle network, this paper studies the similarity between the biological cluster system and the vehicle network. The VANETs dynamic prediction model based on Vicsek model is proposed. Based on the VANETs dynamic prediction model, a topology prediction method is proposed, which can predict the topology of vehicle network. We use the network simulation tool NS3 to simulate the topology prediction algorithm. The simulation results show that the method is feasible. Secondly, according to the VANETs dynamic prediction model, the node backbone reliability of the vehicle network is obtained, and the node backbone reliability factor and the node speed factor are creatively considered. Based on the combination of the relative destination factors and the distance and proximity factors of the node distance roadside system, a node reliability evaluation model is proposed, which aims at the close communication scene between the vehicle and the vehicle in the vehicle network. Based on the topology prediction method and node reliability evaluation model, a topology control algorithm for local communication in workshop is proposed. The end-to-end delay and packet rate of the algorithm are simulated. The results show that, The algorithm can adapt to the dynamics of the vehicle network and improve the efficiency of local communication in the workshop. Finally, this paper aims at the typical application scene of the vehicle online communication downloading music from the network through the roadside system. Taking the roadside system into account in the topology control algorithm, a topology control method is proposed to solve the uplink process in which the vehicle sends the request information to the roadside system to download music. The topology control algorithm of the downlink process of downloading music back to the target vehicle by the roadside system. The topology control algorithm of the vehicle online communication takes into account the road side system, the speed factor of the node, the reliability of the node backbone, and so on. Through the simulation of the topology control algorithm, the simulation results show that, with the increase of the number of vehicles, The topology control algorithm has good performance in end-to-end delay and packet rate. The topology control of vehicle network is improved.
【学位授予单位】：电子科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：U495;TN929.5

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