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首页> 外文期刊>IEEE Transactions on Intelligent Transportation Systems >V2VR: Reliable Hybrid-Network-Oriented V2V Data Transmission and Routing Considering RSUs and Connectivity Probability
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V2VR: Reliable Hybrid-Network-Oriented V2V Data Transmission and Routing Considering RSUs and Connectivity Probability

机译:V2VR:考虑RSU和连接概率的可靠性混合网络导向的V2V数据传输和路由

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摘要

Vehicular ad hoc networks (VANETs) have been widely used in intelligent transportation systems (ITSs) for purposes such as the control of unmanned aerial vehicles (UAVs) and trajectory prediction. However, an efficient and reliable data routing decision scheme is critical for VANETs due to the feature of self-organizing wireless multi-hop communication. Compared with wireless networks, which are unstable and have limited bandwidth, wired networks normally provide longer transmission distances, higher network speeds and greater reliability. To address this problem, this paper proposes a reliable VANET routing decision scheme based on the Manhattan mobility model, which considers the integration of roadside units (RSUs) into wireless and wired modes for data transmission and routing optimization. First, the problems of frequently moving vehicles and network connectivity are analyzed based on road networks and the motion information of vehicle nodes. Second, an improved greedy algorithm for vehicle wireless communication is used for network optimization, and a wired RSU network is also applied. In addition, routing decision analysis is carried out in accordance with the probabilistic model for various transmission ranges by checking the connectivity among vehicles and RSUs. Finally, comprehensive experiments show that our proposed method can support real-time planning and improve network transmission performance compared with other baseline protocol approaches in terms of several metrics, including package delivery ratio, time delay and wireless hops.
机译:车辆临时网络(VANET)已广泛应用于智能运输系统(ITS),以便控制无人驾驶飞行器(无人机)和轨迹预测。然而,由于自组织无线多跳通通信的特征,有效可靠的数据路由决策方案对于VANET至关重要。与无线网络相比,这是不稳定的并且具有有限的带宽,有线网络通常提供更长的传输距离,更高的网络速度和更高的可靠性。为了解决这个问题,本文提出了一种基于曼哈顿移动模型的可靠的Vanet路由决策方案,该方案认为路边单位(RSUS)集成到无线和有线模式下进行数据传输和路由优化。首先,基于道路网络和车辆节点的运动信息来分析频繁移动车辆和网络连接的问题。其次,用于车辆无线通信的改进的贪婪算法用于网络优化,并且还应用了有线RSU网络。另外,通过检查车辆和RSU之间的连接性来根据各种传输范围的概率模型进行路由判定分析。最后,综合实验表明,我们的建议方法可以支持实时规划,并提高网络传输性能与其他基线协议方法,包括若干度量,包括封装传递比,时间延迟和无线跳。

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