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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.
IEEE802.11p (WAVE) is an IEEE802.11 standard extended communication protocol, the communication protocol is mainly used in automotive electronics wireless communications.IEEE802.11p is to provide wireless communications in the traffic environment, the car at high speed mobile The environment must be constantly changing, which also forces all transmissions to be completed in a short time, so the transmission time requirements are shorter than those of the traditional WLAN. Therefore, this paper proposes to use artificial neural network (ANN) Neural Network Constructs a Geographical Fingerprint to improve WAVE system switching delay issues.