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车辆的快速移动、拓扑动态变化,给车联网VANETs(Vehicular ad hoc Networks)的数据传输提出了挑战。分簇是有效解决VANETs数据传输问题之一。利用分簇技术将车辆划分不同的簇,每个簇产生1个簇头,簇头负责簇间通信,有利于提高数据传输效率。为此,提出基于模糊逻辑的簇头产生FLCHS(Fuzzy Logic based Cluster Head Selection)算法。利用车辆的速度、密度和链路质量决策簇头,进而优化簇头选择过程。仿真结构表明,与LID算法相比,提出的FLCHS算法的簇头寿命提高了近20%,数据传输率提高了近45%。
The rapid movement of vehicles and the dynamic topology change pose a challenge to the data transmission of VANETs (Vehicular ad hoc networks). Clustering is an effective solution to the VANETs data transmission problems. The use of clustering technology will be divided into different clusters of vehicles, each cluster produces a cluster head cluster head is responsible for inter-cluster communication, help to improve data transmission efficiency. For this reason, the Fuzzy Logic based Cluster Head Selection (FLCHS) algorithm based on fuzzy logic is proposed. The use of vehicle speed, density and link quality decision cluster head, and then optimize the cluster head selection process. The simulation results show that compared with LID algorithm, the proposed FLCHS algorithm has an increase of nearly 20% in cluster head lifetime and a data transmission rate of nearly 45%.