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作 者:江晓明[1] 吴昊[1] 丛滢淇 杜雪 方婧茹 JIANG Xiaoming;WU Hao;CONG Yingqi;DU Xue;FANG Jingru(School of Computer Science and Communication Engineering,Jiangsu University,Zhenjiang,Jiangsu 212013,China)
机构地区:[1]江苏大学计算机科学与通信工程学院,江苏镇江212013
出 处:《江苏大学学报(自然科学版)》2023年第1期62-66,共5页Journal of Jiangsu University:Natural Science Edition
基 金:国家自然科学基金资助项目(61573171)。
摘 要:在智能交通系统中,由于车辆节点高速运动,且速度、方向等状态频繁发生变化,造成了车联网无线信道的时变衰落.针对目前所采用的自适应交通信标ATB(adaptive traffic beacons)预测算法过程较为复杂、使用信道质量评估指标较多的问题,提出了新型的R-ATB预测算法.根据节点运动的多普勒频移程度,计算对应的相关时间参数RT(relevant time),给出R-ATB算法.通过OMNET++通用网络平台的条件设定与系统建模,对相关信道预测算法下的PDR(package delivery rate)与时延参数进行分析与评估.结果表明:与静态信标和传统ATB算法相比,R-ATB预测算法使用较少的实时评价指标量与较小的预测过程计算量,降低了IoV的通信信道拥塞,在典型高密度OBUs数据交互场景下,安全信标的传播及时性和高速数据的传输成功率PDR都有所提高.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 high-density OBUs data interaction scenarios.
关 键 词:ITS C-V2X 信道质量 多普勒频移 相关时间 R-ATB
分 类 号:TN929.5[电子电信—通信与信息系统]
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