Abstract：In the IoV system, the high speed movement of vehicle nodes and frequent changes in speed, direction and other states cause time-varying fading of the wireless channel in vehicular networks. To solve the problems of the currently used adaptive traffic beacons (ATB) prediction algorithm process with complex and many channel quality evaluation indicators, a new R-ATB prediction algorithm was proposed. The R-ATB algorithm was achieved by calculating the corresponding correlation time parameter of relevant time (RT) according to the Doppler shift degree of node motion. The package delivery rate (PDR) and the time delay parameters under the correlated channel prediction algorithm were analyzed and evaluated by setting the conditions and system modeling in OMNET++ universal network platform. The results show that compared with static beacons and traditional ATB algorithms, in the proposed R-ATB prediction algorithm, less amount of real-time evaluation metrics and smaller computation of the prediction process are used to reduce the communication channel congestion of IoV. The propagation timeliness of security beacons and the PDR of high-speed data transmission success rate are improved in typical highdensity OBUs data interaction scenarios.
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