基于自组织映射神经网络的VANET组网算法  

Networking algorithm based on self-organizing map neural network for VANET

作　　者：吴怡[1,2] 杨琼[1] 吴庆祥[2] 沈连丰[1] 林潇[2] 

机构地区：[1]东南大学移动通信国家重点实验室,江苏南京210096 [2]福建师范大学物理与光电信息科技学院,福建福州350007

出　　处：《通信学报》2011年第12期136-145,共10页Journal on Communications

基　　金：国家高技术研究发展计划("863"计划)基金资助项目(2008AA012205);教育部新世纪优秀人才支持计划基金资助项目(NCET-10-0018);福建省高校新世纪优秀人才支持基金资助项目(JA10060);福建省自然科学基金资助项目(2010J01320);东南大学移动通信国家重点实验室自主研究课题基金资助项目(2011A08)~~

摘　　要：研究了应用于汽车辅助驾驶、无人驾驶等智能交通领域的车辆组网方法,提出一种将自组织映射神经网络算法应用于车辆自组织网络进行车辆组网的算法,该算法根据车辆定时发出的消息中位置、行驶方向等信息对车辆按目的地、行驶方向的相似性进行组网,组网后的车辆主要接收并处理与之在同一个网络中的车辆的信息。理论分析和仿真结果表明,组网后的系统传输时延远低于未组网通信情况,吞吐量有显著提高。An approach was proposed to apply a self-organizing map neural network to organize vehicular ad hoc networks, which were used for car driving-aid systems and automatic drivefless systems in intelligent transportation area. Based on the location and driving direction information of the periodic message of each vehicle, the vehicles were organized into vehicular ad hoc networks according to the similarity of destination and driving direction. The organized vehicles only communicate mainly with the vehicles in the same vehicular ad hoc network and deal with messages from the same network. Theoretic analysis and simulation results show that the system transmission delay of this proposed algorithm is lower than one of the previous method, and the system throughput is remarkably improved.

关 键 词：车辆自组织网络 自组织映射 神经网络 组网 

分 类 号：TN923[电子电信—通信与信息系统]