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A Clustering-Based Adaptive Multiple Access Protocol for Vehicular Ad Hoc Networks

机译:车载Ad Hoc网络中基于集群的自适应多址访问协议

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摘要

To maintain a reliable, stable and efficient clustering architecture for vehicle ad hoc networks, we propose a stable weighted clustering (SWC) algorithm, which introduces a novel cluster mobility factor associated with the traffic loads to achieve better cluster stability. Meanwhile, in order to improve the channel utilization, we propose an adaptive multiple access (AMA) protocol. It adopts different access mechanism, i.e., random access, on-demand access, group time-slot reservation and polling channel access, for different traffic load and the number of accessed vehicle users. We use the network simulation tool NS2 and SUMO to obtain the relevant performance results. The simulation results show that SWC algorithm outperforms traditional weighted clustering algorithm due to taking the road environment into account in the cluster mobility factor, AMA protocol outperforms CSMA protocol due to accessing the network flexibly according to the traffic levels, and the combination of SWC and AMA, i.e., AMAC protocol, has better performance than AMA protocol because of the integration of advantages of these two protocols.
机译:为了维护用于车辆自组织网络的可靠,稳定和高效的集群体系结构,我们提出了一种稳定的加权集群(SWC)算法,该算法引入了一种与流量负载相关联的新颖的集群移动性因子,以实现更好的集群稳定性。同时,为了提高信道利用率,我们提出了一种自适应多路访问(AMA)协议。对于不同的业务负载和访问的车辆用户数量,它采用不同的访问机制,即随机访问,按需访问,组时隙保留和轮询信道访问。我们使用网络仿真工具NS2和SUMO来获得相关的性能结果。仿真结果表明,SWC算法在集群移动性方面考虑了道路环境,优于传统的加权聚类算法;由于根据流量水平灵活接入网络,以及SWC与AMA的结合,使得AMA协议优于CSMA协议。由于AMAC协议(即AMAC协议)的优点,因此这两个协议之间的集成使它们的性能优于AMA协议。

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