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A Vehicular Communication Routing Algorithm Based on Graph Theory

机译:一种基于图论的车辆通信路由算法

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Recently, the vehicular ad hoc network (VANET) has attracted the attention of researchers with the development of the internet of things (IoT) and the intelligent transport system (ITS). One of the major application scenarios of the fifth generation wireless communication is massive machine type communication (mMTC). In order to aggregate the data recorded by machines, information packets need to be delivered to bureaus in the network. However, some packets are not very urgent and they don't have to be transferred by the cellular communication due to the fact that the spectrum source is scarce. With the increasing number of vehicles and the increasing computing power of on board units (OBUs), vehicle-to-vehicle (V2V) communications are better to deliver data packets. In order to transfer the packets effectively, it is important to find a reliable vehicular communication route. As the topology and the vehicles velocity change much more rapidly, the existing routing algorithms in other kinds of ad hoc networks are not suitable for the VANET. In this paper, we propose a vehicular routing algorithm based on graph theory. We consider the network situations more comprehensively and the simulation results show that the algorithm proposed is superior to the traditional routing algorithm.
机译:最近,车辆临时网络(VANET)吸引了研究人员的注意力,以发展事物互联网(物联网)和智能传输系统(其)。第五代无线通信的主要应用场景之一是大量机器类型通信(MMTC)。为了聚合机器记录的数据,需要将信息包传递到网络中的局。然而,由于频谱源稀缺的事实,某些数据包不是非常紧迫的,并且由于频谱源是稀缺的事实,它们不必通过蜂窝通信转移。随着车辆数量越来越多的车辆和船上单位(OBUS)的计算能力,车辆到车辆(V2V)通信更好地提供数据包。为了有效地传输数据包,重要的是找到可靠的车辆通信路线。作为拓扑和车辆速度更快地变化,其他类型的临时网络中的现有路由算法不适合Vanet。本文提出了一种基于图论的车辆路由算法。我们更全面地考虑网络情况,仿真结果表明,所提出的算法优于传统的路由算法。

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