AN INTELLIGENT VEHICLE APPROACH TO MOBILE VEHICULAR AD HOC NETWORKS: Clustering Optimisation in Dynamic Traffic Networks
参考中译:移动车辆自组织网络的智能车辆方法：动态交通网络中的聚类优化


     

文集名：Robotics and Automation
作者：James G. Haran（University of Illinois at Chicago, Department of Computer Science, 851 S. Morgan (M/C 152), Room 1120 SEO, Chicago, IL 60607-7053 USA Email: jharan1@uic.edu）
Peng Fan
Peter Nelson
John Dillenburg
会议名：Second International Conference on Informatics in Control, Automation and Robotics (ICINCO 2005), Vol. III
会议日期：September 14-17, 2005
会议地点：Barcelona, Spain
出版年：2005
ISBN：972-8865-30-9
页码：832-839
总页数：8
馆藏号：hyw01192-3
分类号：TP2-53/I61/(2nd)
关键词：Mobile Ad Hoc Networks (MANETs)；Vehicular Ad Hoc Networks (VANETs)；Intelligent Transportation Systems (ITS)；Inter-Vehicle Communication (IVC)；Dedicated Short Range Communications (DSRC)；Distributed Clustering Algorithm (DCA)
参考中译：移动自组织网络(MANET)；车辆自组织网络(VANETs)；智能运输系统(ITS)；车辆间通信(IVC)；专用短程通信(DSRC)；分布式聚类算法(DCA)
语种：eng
文摘：The application of Mobile Ad Hoc Network (MANET) technologies to Vehicular Ad Hoc Networks (VANETs) in the service of Intelligent Transportation Systems (ITS) has brought new challenges in maintaining communication clusters of network members for long time durations. Stable clustering methods reduce the overhead of communication relay in MANETs and provide for a more efficient hierarchical network topology. During creation of VANET clusters, each vehicle chooses a head vehicle to follow. Cluster stability in these simulations is measured by the average number of cluster head changes per vehicle during the simulation. In this paper we analyse the effects of six different clustering methods in a simulated highway environment to determine which method provides optimum stability over the simulation timeline.

注：参考中译为机器自动翻译，仅供参考。



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