一种基于立体交通场景的CAB广播路由算法

发布时间：2018-08-30 10:17

【摘要】：针对立体交通环境下,经典车载自组网广播协议可能出现的数据误传率高、网络延时大、传输不可靠等问题.提出了一种基于路侧单元装置(RSU,Road Side Unit)的准确高效的广播算法CAB(Cubic traffic Adaptive Broadcast Routing Algorithm).该算法根据立体交通不同的应用场景,将广播分为前向、后向和全向类型.同时,通过特殊hello包交换邻居节点信息.通过统计邻居表信息来选择下一跳转播节点,以达到缩短广播时延,提高广播效率的目的.针对立体交通中数据误传率高的问题,引入了车道判别方案和一跳广播确认机制提高其传输的可靠性.使用NS-3和VanetMobiSim仿真结果表明,与现有经典的广播算法相比,该协议在立体交通场景下有更好的包到达率、更轻的网络负载和更低的传输时延.
[Abstract]:In view of the problems of high data mistransmission rate, large network delay and unreliable transmission, the classical vehicle-mounted ad hoc network broadcasting protocols may appear in the stereo traffic environment. An accurate and efficient broadcast algorithm CAB (Cubic traffic Adaptive Broadcast Routing Algorithm). Based on RSU,Road Side Unit) is proposed. According to the different application scenarios of stereo traffic, the broadcast is classified into forward, backward and omnidirectional types. At the same time, the neighbor node information is exchanged by special hello packet. In order to shorten the broadcast delay and improve the broadcast efficiency, the next hop relay node is selected by statistics of neighbor table information. Aiming at the problem of high data miscommunication rate in stereo traffic, a lane discrimination scheme and a one-hop broadcast confirmation mechanism are introduced to improve the transmission reliability. The simulation results using NS-3 and VanetMobiSim show that the proposed protocol has better packet arrival rate, lighter network load and lower transmission delay than the classical broadcast algorithms.
【作者单位】：安徽机电职业技术学院信息工程系;合肥工业大学计算机信息学院;
【基金】：安徽省教育厅2016年度高校领军人才引进与培育计划项目(gxfxZD2016324) 安徽省教育厅省级教学团队项目(2014jxtd99) 2016安徽机电职业技术学院院级重点科研项目(2016zdzr10)
【分类号】：U495;TN93

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