Graphical Approach for V2V Connectivity Enhancement in Clustering-based VANET
2021
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 work, 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.
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