Integration Method for Wireless Communication Modes in Internet of Vehicles in the Big Data Environment

摘要

Internet of Vehicles has great effect on improving the efficiency of the transportation system and driving safety. Communication process of Internet of Vehicles can be done adopting various wireless communication modes which include 4G, WLAN and WAVE in the Big data environment. As each wireless communication mode has different traffic scene applicability and different communication effects, this paper proposed a integration method for wireless communication mode based on support vector machine. This method obtained learning samples which indicate the communication mode with best communication performance through simulation of various traffic scenes in OPENT Modeler. Through the study of support vector machine algorithm, this designed method can output the predicted result mode of wireless communication adaptively under unknown traffic scenes. The outstanding results show that the integration method based on support vector machine can accurately choose the optimal communication mode in Internet of Vehicles.