Beacon message generating strategy based on channel load preset threshold in VANET environment
The vehicle beacon message generation strategy was analyzed in order to solve the channel saturation,congestion,and the message conflict problems in vehicular ad-hoc network.The Kalman filter difference prediction equation was proposed according to the relationship of the Kalman filter prediction in time domain.Then the beacon generation model was established.The beacon message generating model and strategy based on time interval adaptive adjusting were established according to the measured channel load and the preset threshold.Traffic data from the simulation of eight-lane freeway basic section and the floating car driving test on Changchun urban road was collected to verify the second model and strategy.The corresponding data was analyzed.Results demonstrate that the proposed distributed strategy can effectively reduce the channel load,avoid the channel congestion and ensure the fairness of message generation and transmission for each node in the required position accuracy.
NETL
NSTL
万方数据
维普
