IEEE802.11p(WAVE)是一個由IEEE802.11標準擴充的通信協議,這個通信協議主要用在車用電子的無線通信上.IEEE802.11p所要提供的是交通環境下的無線通信,在汽車高速移動的環境限制下,其聯機狀態必定時常變動,這也迫使所有傳輸必須在短時間完成,因此在傳輸時間的要求上比傳統的WLAN都要短,為此本文提出,使用神經網絡機制ANN(Artificial Neural Network)建構地形指紋(Geographical Fingerprint),用以改善WAVE系統切換延遲問題.IEEE 802111p (WAVE) is a communication protocol extended by IEEE Std 802111 TM , which is used in Vehicular Environment s of wireless communication. IEEE 802111p offer wireless communication under Vehicular Environment s. When cars move at high speed under limited congenital environment , the state of communication must change often and this causes all t ransmission to be fin2 ished in short time. Therefore , the required t ransmission 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 .
關聯:
北京交通大學學報 = Journal of Beijing JiaoTong University 32(5), pp.14-18
