摘要
IEEE802.11p(WAVE)是一个由IEEE802.11标准扩充的通信协议,这个通信协议主要用在车用电子的无线通信上.IEEE802.11p所要提供的是交通环境下的无线通信,在汽车高速移动的环境限制下,其联机状态必定时常变动,这也迫使所有传输必须在短时间完成,因此在传输时间的要求上比传统的WLAN都要短,为此本文提出,使用神经网络机制ANN(Artificial Neural Network)建构地形指纹(Geographical Fingerprint),用以改善WAVE系统切换延迟问题.
IEEE 802. llp (WAVE) is a communication protocol extended by IEEE Std 802.11^TM, which is used in Vehicular Environments of wireless communication. IEEE 802.11p offer wireless communication under Vehicular Environments. When cars move at high speed under limited congenital environment, the state of communication must change often and this causes all transmission to be finished in short time. Therefore, the required transmission time is shorter than that of WLAN. In this paper, we propose to improve handover delay in WAVE by using Artificial Neural network to establish the Geographical Fingerprint.
出处
《北京交通大学学报》
EI
CAS
CSCD
北大核心
2008年第5期14-18,共5页
JOURNAL OF BEIJING JIAOTONG UNIVERSITY
关键词
IEEE
802.11p
WAVE
神经网络
地形指纹
IEEE 802.1 lp
wireless access in the vehicular environment(WAVE)
ANN
geographical fingerprint(GF)