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基于移动性预测分簇算法的仿真设计

Simulation and Design of Clustering Algorithm Based on Mobility Prediction
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摘要 针对车联网的特点,结合节点间的节点相对移动性和节点的剩余生存时间,提出了簇头选择权值参数M来表示节点作为簇头的能力强弱,并基于这个参数设计出一种簇生成算法;该簇生成算法的主要思想是比较每个节点的M值,然后选出M值最小的节点成为簇头并生成簇,这样可以保证簇的稳定性;但是,当一个簇内成员个数过多过少时都会使簇的存在变得低效,针对这一现象,提出了簇合并和簇分裂机制;该机制可以在降低网络通信开销的同时,保证簇的稳定运行;仿真结果表明,此算法在车联网场景中性能良好,簇结构稳定,孤立节点数量较少,节点能够快速地进行信息交互并生成簇。 According to the characteristics of VANET,and considering the relative mobility of nodes and the lifetime of nodes in VANET.The metric M of The Cluster Head Selection Metric is proposed.It represents the ability of nodes as the cluster head.Based on this metric,the cluster formation is designed.The main idea of the cluster formation algorithm is to compare the M values of each node.Then,selecting a node with the smallest M value to become cluster heads and form the cluster.This method can ensure the stability of the cluster structure.However,when there are too many or few nodes in the cluster.It is inefficient to the cluster.According to this phenomenon,the cluster merging mechanism and the cluster splitting mechanism are proposed.The mechanism can reduce the overhead of communication and ensure the stability of the cluster structure.The simulation results show that the algorithm has a good performance in VANET.It can reduce the number of isolated nodes and the cluster structure will be more stable.Nodes can exchange information quickly.Then,they will form the cluster rapidly.
作者 刘云 黄润根 LIU Yun;HUANG Rungen(Xinglin College of Nantong University,Nantong 226236,China;School of Information Science and Technology,Nantong University,Nantong 226019,China)
出处 《计算机测量与控制》 2023年第12期265-270,283,共7页 Computer Measurement &Control
关键词 车联网 簇头选择权值参数 簇生成与维护 簇稳定性 VANET cluster head selection metric cluster formation and maintenance cluster stability
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