车载自组织网络激励机制研究

发布时间：2018-01-07 12:08

本文关键词：车载自组织网络激励机制研究　出处：《西华大学》2015年硕士论文　论文类型：学位论文

【摘要】：车载自组织网络以车辆为基本信息单元,通过车与车、车与路边设施的实时信息交互来保证车辆行驶安全、规避道路拥塞和提高出行舒适度。车载自组织网络中的节点是在城市或者高速公路上高速移动的,无论是车辆间的通信,还是车辆节点与路边设施的信息交互,一般依赖各个车辆节点之间的协作来完成数据的传输。由于车载自组织网络中的车辆节点不属于同一用户或组织,而是从属于不同的私人用户或者不同的组织。因此,车辆会因主观因素表现出自私性,拒绝接收或者转发网络数据包,以此来节省自身资源的开销。若在车载自组织网络中出现了大量类似这样的自私节点,网络会有大量的数据包不能到达目的地,由此带来的是网络性能受到很大影响。为了解决车载自组织网络车辆节点间的合作问题,本文提出了一种适用于车载自组织网络的激励机制,主要内容如下:1、提出了一种基于节点活跃度的激励机制,该机制可以通过节点的活跃指数信息,来判断节点是否为自私节点,简化了自私节点的检测流程。同时,引用了网络冲突检测的退避算法来计算自私节点的惩罚时间,即根据节点的历史行为。例如曾经成为自私节点的次数,来计算自私节点的惩罚时间。2、建立了吞吐比率和时延模型,进行了性能分析,验证了有无激励机制下的相邻锚节点间的吞吐比率、有激励机制下的时延和无激励机制下的时延比值。最后,介绍了实验仿真的整个流程,包括SUMO移动模型工具和NS2性能仿真实验平台两大部分。
[Abstract]:The vehicle-borne ad hoc network takes the vehicle as the basic information unit to ensure the safety of the vehicle through the real-time information exchange between the vehicle and the vehicle, the vehicle and the roadside facilities. To avoid road congestion and improve travel comfort. The nodes in the vehicular ad hoc network are moving at high speed on the city or on the freeway, whether it is the communication between vehicles or the information exchange between vehicle nodes and roadside facilities. Generally, it depends on the cooperation of each vehicle node to complete the data transmission, because the vehicle nodes in the vehicular ad hoc network do not belong to the same user or organization. It belongs to different private users or different organizations. Therefore, because of subjective factors, vehicles show selfishness and refuse to receive or forward network packets. If there are a large number of selfish nodes like this in the vehicle-borne ad hoc network, there will be a large number of packets can not reach the destination. Therefore, the network performance is greatly affected. In order to solve the problem of cooperation between vehicle nodes, this paper proposes an incentive mechanism suitable for vehicle-borne ad hoc networks. The main contents are as follows: 1. An incentive mechanism based on node activity is proposed. This mechanism can determine whether the node is a selfish node through the active index information of the node. At the same time, the network collision detection algorithm is used to calculate the penalty time of the selfish node, that is, according to the historical behavior of the node, for example, the number of times it has become a selfish node. In order to calculate the penalty time of selfish nodes, the throughput ratio and delay model are established, and the performance analysis is carried out to verify the throughput ratio between adjacent anchor nodes with or without excitation mechanism. Finally, the whole process of experimental simulation is introduced, including SUMO mobile model tool and NS2 performance simulation experiment platform.
【学位授予单位】：西华大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：U495;U463.67

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