Abstract：In vehicular ad hoc networks,due to the rapid movement of vehicles and the dynamic change of network topology,the clustering structure formed between vehicles is unstable,which poses a challenge to the mass media streaming data transmission between cluster heads and other vehicles.In this paper,an optimum scheme for vehicle communication is proposed based on complex network theory.We design a clustering algorithm based on vehicle's generalized distance.Moreover,we also propose a cluster head selection algorithm based on fuzzy logic theory.Based on these methods,we propose a data transmission optimization model in cluster.Our defined generalized distance considers both the relative location of vehicles and the quality of the communication between vehicles.The cluster head selection algorithm integrates the speed,leadership,and distance factors into account.Simulation results show that the proposed algorithm is more reliable than the existing works.Our proposed scheme improves the intra-cluster network throughput,and reduces the data transmission delay.
薛拯,刘洋,韩国军,闫晶莹. 车联网下基于模糊逻辑的簇头选择与数据传输策略研究[J]. 小型微型计算机系统, 2020, 41(7): 1458-1463.
XUE Zheng,LIU Yang,HAN Guo-jun,YAN Jing-ying. Research on Cluster Head Selection Based on Fuzzy Logic and Data Transmission Strategy in VANETs. Journal of Chinese Computer Systems, 2020, 41(7): 1458-1463.
2020, Vol. 41 
