车载网中基于模糊逻辑的簇头选择算法

Cluster Head Selection Algorithm in Vehicular Ad Hoc Networks Based on Fuzzy Logic

中文关键词:  车载网  簇  模糊逻辑  簇头生命周期

英文关键词:vehicular Ad Hoc networks  cluster  fuzzy logic  cluster head duration

中文摘要:

      在车载网络（VANETs，vehicular Ad Hoc networks)中，车辆以动态节点方式与其他车辆通信。由于车辆数量的变化和高速移动，通信管理并建立稳定网络成为VANETs最有挑战的项目。因此，簇技术成为解决此挑战的可靠方案之一。利用簇技术将车辆划分不同的群，使得网络更强健。为此，提出基于模糊逻辑的簇头选择算法，记为COHORT算法。在COHORT算法中，车辆利用关于平均速度、邻居密度和链路质量的模糊逻辑评估自己成为簇头的资格，具有最高资格的车辆被选为簇头。仿真结果表明，提出的COHORT算法提高了簇头的生命周期和稳定性。

英文摘要:

      In vehicular Ad Hoc networks(VANETs)，vehicles communicate with each other in dynamic nodes way.Consequently，due to change in the number and high-speed mobile of vehicles，the communication management and the creation of a stable network become the most challenging subjects in VANETs.Hence，clustering technology is taken as a possible solution to address this challenge.Clustering technology is used to divide the nodes into different groups，which makes the network more robust.Therefore，the cluster head selection algorithm (COHORT) based on fuzzy logic is proposed.In COHORT，the vehicles evaluate their eligibility to become CH using fuzzy logic in terms of average speed，neighborhood degree，and link quality.The vehicle with the highest eligibility is considered to be cluster head.Simulation results show that the COHORT algorithm outperforms other existing approaches in terms of cluster head duration and cluster stability.