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作 者:张智 张剑[1] 聂铃 李陆君 ZHANG Zhi;ZHANG Jian;NIE Ling;LI Lujun(School of Air Transportation,Shanghai University of Engineering Science,Shanghai 201620,China)
机构地区:[1]上海工程技术大学航空运输学院,上海201620
出 处:《智能计算机与应用》2020年第11期131-136,共6页Intelligent Computer and Applications
摘 要:针对城市环境下VANET(Vehicle Ad-hoc Network)的场景特点,本文提出基于车流特征的路由算法TCR(Routing algorithm based on traffic flow characteristics)。该算法通过实时的车辆密度信息,预估每个路段的连通度;结合车流分布情况,生成有效评价函数,进行最优路段的选择;通过改进传统的贪婪转发方式,增加链路状态因子L、方向因子F、距离因子D三方面因素综合考量,优选下一跳转发节点,进行道路段内的数据包转发。实验仿真结果表明,TCR算法提高了数据传输的成功率,降低了数据传输的时延。Aiming at the scene characteristics of VANET(Vehicle Ad-hoc Network) in an urban environment,this paper proposes a routing algorithm based on traffic flow characteristics(TCR) based on traffic flow characteristics.The algorithm estimates the connectivity of each road segment through real-time vehicle density information;combines the distribution of traffic flow to generate an effective evaluation function to select the optimal road segment;improves the traditional greedy forwarding method to increase the link state factor L,the direction factor F and the distance factor D are comprehensively considered,and the next hop sending node is selected to forward data packets in the road segment.Experimental simulation results show that the TCR algorithm improves the success rate of data transmission and reduces the time delay of data transmission.
分 类 号:TN929.5[电子电信—通信与信息系统]
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