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Cluster-based Data Collection Scheme for Vehicular Ad-hoc Networks

机译:车载自组网的基于集群的数据收集方案

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As a prominent application of intelligent transportation system, Vehicular Ad-hoc Network is designed to enhance the road traffic safety by deploying effective wireless communication technologies. The paradigm of connected vehicles enables to connect vehicles to each other, and vehicles to infrastructure. Because of the significance of safety-related driving data that are exchanged in vehicular networks, it is mandatory to provide a suitable collection solution. In this paper, we propose an efficient data collection based on vehicle to vehicle and vehicle to infrastructure communications. The proposed solution is endowed with a clustering approach for reducing the effects of mobility and density on the data collection stations. In order to demonstrate the effectiveness of the proposed solution, we have conducted a simulation using OMNET++ simulator, Veins, and SUMO. The results show that proposed solution achieves a more efficient collection of the road traffic data while reducing the overhead and the topology changes.
机译:车载自组织网络作为智能交通系统的重要应用,旨在通过部署有效的无线通信技术来提高道路交通安全性。联网车辆的范例使车辆能够相互连接,以及车辆与基础设施之间的连接。由于在车辆网络中交换与安全相关的驾驶数据的重要性,因此必须提供合适的收集解决方案。在本文中,我们提出了一种基于车辆对车辆和车辆对基础设施通信的有效数据收集方法。所提出的解决方案具有集群方法,可减少移动性和密度对数据收集站的影响。为了证明所提出解决方案的有效性,我们使用OMNET ++模拟器,Vines和SUMO进行了仿真。结果表明,所提出的解决方案实现了道路交通数据的更有效收集,同时减少了开销和拓扑变化。

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