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Graphical Approach for V2V Connectivity Enhancement in Clustering-Based VANET
IEEE Wireless Communications Letters ( IF 6.3 ) Pub Date : 2021-02-26 , DOI: 10.1109/lwc.2021.3062379
Rohit Singh , Deepak Saluja , Suman Kumar

In the clustering based Vehicular Ad-hoc Network (VANET), the Vehicular to Vehicular (V2V) connectivity relies on the milli-meter wave which possesses several connectivity issues (e.g., poor diffraction and high attenuation). Moreover, the broadcasting nature of connected vehicles raises the issue of V2V interference. In this letter, we have shown that a large portion of V2V interference comes from the intra-cluster vehicles only. Then, we propose a dual-slot transmission scheme for intra-cluster interference suppression. Finally, we propose a graph-based algorithm to assure that the dominant interfering nodes may transmit in the different time slots. Further, through simulation results, it is shown that the proposed approach significantly enhances the V2V connectivity of clustering based VANET.

中文翻译:

基于集群的 VANET 中 V2V 连接增强的图形方法

在基于聚类的车载自组织网络 (VANET) 中,车对车 (V2V) 连接依赖于具有若干连接问题(例如,衍射差和衰减高)的毫米波。此外,联网车辆的广播特性引发了 V2V 干扰问题。在这封信中,我们已经表明,很大一部分 V2V 干扰仅来自集群内车辆。然后,我们提出了一种用于簇内干扰抑制的双时隙传输方案。最后,我们提出了一种基于图的算法,以确保主要干扰节点可以在不同的时隙中进行传输。此外,通过仿真结果表明,所提出的方法显着增强了基于集群的 VANET 的 V2V 连接性。
更新日期:2021-02-26
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