Cluster-based D2D architecture for safety services in vehicular ad hoc networks

S. Gupta, J. Khan, D. T. Ngo
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引用次数: 15

Abstract

With the expected introduction of autonomous vehicles in the next decade, it will be imperative for road traffic authorities to develop strategies to manage the co-existence of autonomous and legacy vehicles. In this scenario, the exchange of safety messages among vehicles in a timely manner will be critical for future advanced road traffic management systems. Most of the work in the area of vehicular ad hoc network (VANET) has concentrated on the IEEE 802.11p and the DSRC standards. With the emergence of the advanced LTE-based cellular network standard, researchers are now concentrating on the LTE-based VANET architecture. However, due to the use of the centralized architecture, an LTE-based system may require significant network resources to support vehicle-to-vehicle (V2V) communications. In this paper, we propose a new vehicle discovery technique and a LTE cluster-based device-to-device (D2D) architecture to achieve high packet delivery ratio for the safety services in a vehicular network. The performance of the proposed network architecture is analyzed by an OMNET++ based simulation model. Simulations results shows that the proposed algorithm reduces the end-to-end delay and signalling overhead as well as improve the data packet delivery ratio (DPDR) compared to the existing 3GPP ProSe technique for vehicular safety applications.
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基于集群的车辆自组织网络安全服务D2D架构
随着未来10年自动驾驶汽车的出现,道路交通当局必须制定战略,管理自动驾驶汽车和传统汽车的共存。在这种情况下,车辆之间及时交换安全信息对未来先进的道路交通管理系统至关重要。车辆自组织网络(VANET)领域的大部分工作都集中在IEEE 802.11p和DSRC标准上。随着基于lte的先进蜂窝网络标准的出现,研究人员正在关注基于lte的VANET体系结构。然而,由于使用集中式架构,基于lte的系统可能需要大量的网络资源来支持车对车(V2V)通信。在本文中,我们提出了一种新的车辆发现技术和基于LTE集群的设备对设备(D2D)架构,以实现车辆网络中安全服务的高分组传输率。利用基于omnet++的仿真模型对所提出的网络结构进行了性能分析。仿真结果表明,与现有的3GPP散文技术相比,该算法降低了端到端延迟和信令开销,提高了数据包传输率(DPDR),适用于车辆安全应用。
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