FLCHS:面向车联网中的簇头产生算法  

FLCHS: Cluster Head Selection Algorithm in Vehicular Ad Hoc Networks

作　　者：吕争[1] 尚光龙[1] LV Zheng Shang Guang-long(School of Mathematics and Computer Science, Xinyang Vocational Technical College, Xinyang 464000, Chin)

机构地区：[1]信阳职业技术学院数学与计算机科学学院,河南信阳464000

出　　处：《控制工程》2017年第10期2161-2165,共5页Control Engineering of China

基　　金：河南省科技厅重点科技攻关项目(142102210330);河南省教育厅专业综合改革项目(590108);河南省教育厅教改项目(2014-JSJYYB-168)

摘　　要：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%。In vehicular ad hoc networks（VANETs）, high mobility of vehicles and dynamic topology present a challenge to data transmission. Clustering is a possible solution to address this challenge. Vehicles are divided into serval clusters by the clustering technique, and a cluster head is selected in each cluster. The cluster head is in charge of communication among clusters, which is in favor of improving the performance of transmitting data. Therefore, fuzzy logic based cluster head selection（FLCHS） algorithm is proposed in this paper. Speed, density and link quality parameters are used to select the cluster head, in order to optimize the cluster head selection process. Simulation result shows that the FLCHS algorithm outperforms other existing approaches in terms of cluster head duration and transmitting data. Compared with LID algorithm, cluster head duration of FLCHS algorithm is increased by about 20 %, and the data transmission ratio is improved by about 45 %.

关 键 词：簇头寿命 模糊逻辑 数据传输率 分簇 车联网 

分 类 号：TP331.1[自动化与计算机技术—计算机系统结构]