异构车载通信中基于模糊逻辑的最佳簇头选择算法  

Optimal Cluster Head Selection Algorithm Based on Fuzzy Logic in Heterogeneous in-Vehicle Communication

作　　者：周军[1] 程石磊 肖飞[1] ZHOU Jun;CHENG Shilei;XIAO Fei(No.30 Institute of CETC,Chengdu Sichuan 610041,China)

机构地区：[1]中国电子科技集团公司第三十研究所,四川成都610041

出　　处：《通信技术》2023年第11期1253-1257,共5页Communications Technology

摘　　要：车载网络中车辆高速移动且网络拓扑频繁变换,而现有的通过建立数学模型来确定簇头的算法太过复杂,且缺乏灵活性。提出了一种VANET分簇中基于模糊逻辑选择最佳簇头的方案,以车辆间相对平均速度、相邻度和RSU链路质量为度量标准,基于模糊逻辑选取最理想的簇头,增加了簇头选择的灵活性。方案中选取邻近车辆作为簇头,可以提高簇内通信速度与质量,有效降低时延。与CROWN算法的性能仿真对比表明,所提方案具有更好的服务发现时延和服务消耗时延。Existing algorithms for determining cluster heads by establishing mathematical models are too complex and inflexible due to the high speed movement of vehicles and frequent changes in network topology in in-vehicle networks.This paper proposes a scheme for selecting the optimal cluster head based on fuzzy logic in VANET clustering,which uses the relative average speed among vehicles,adjacency,and RSU link quality as the metrics,and selects the most optimal cluster head based on fuzzy logic,which increases the flexibility of cluster head selection.The scheme selects adjacent vehicles as cluster heads,which can improve the speed and quality of intra-cluster communication and effectively reduce the latency.The performance simulation comparison with CROWN algorithm indicates that the proposed scheme has better service discovery latency and service consumption latency.

关 键 词：VANET 分簇 模糊逻辑 簇头 

分 类 号：TP311.5[自动化与计算机技术—计算机软件与理论]