基于信道负载阈值的车联网信标消息生成策略

Beacon message generating strategy based on channel load preset threshold in VANET environment

为了解决车联网中的信道饱和、拥塞以及由此带来的消息冲突问题,研究和设计车联网信标消息生成策略.根据卡尔曼滤波预测时间域关系,提出卡尔曼滤波差分预测方程,建立卡尔曼滤波预测信标消息生成模型.根据信道负载实测值与预设阈值,建立时间间隔自适应调节的信标消息生成模型和策略.通过仿真八车道高速公路基本路段和利用浮动车在长春市某路段行车实验,进行数据采集.对基于信道负载阈值的车联网信标消息生成模型和策略进行验证,开展相关分析.结果表明,提出的该分布式策略在满足车联网应用所需的位置信息准确度的要求下,能够有效地降低信道负载,避免信道拥塞,保证了各节点的消息生成和传输的公平性.

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.