A vehicular ad hoc network (V ANET) is a subclass of mobile ad hoc networks (MANETs) where it is created by moving vehicles. VANET is installed on the road, where vehicles comprise portable nodes. Dynamic security and keen transportation are significant uses of V ANET, which need appropriate vehicle-to-vehicle correspondence innovation, particularly routing technology. V ANETs empower a wide scope of uses, such as counteraction of impacts, security, blind intersection, dynamic route scheduling, constant traffic condition checking, etc. Another important application for V ANETs is providing Internet connectivity to vehicular nodes. The data is made accessible to the vehicle in either single-hop or through multi-hop. In single-hop information is made available directly through access points but in the multi-hop, information is made available by some intermediate connected vehicle. While the single hop is dependable however prompts enormous overhead; the multi-hop correspondences protect assets yet experience the ill effects of higher delays and decreased link stabilities. Clustering is a significant idea in vehicular ad hoc networks (V ANET) where a few vehicles join to frame a gathering because of common features. In this paper, a novel transmission approach has been proposed which joins the advantages of both the previously mentioned methods while staying away from their constraints. The proposed scheme considers the got SINR by CVS to choose the best topology of the network in a given situation. The simulation results show that the proposed plot effectively accomplishes a harmony between the exhibition of single-hop and the asset use of dual-hop transmission. It can accomplish a Coverage Probability (CP) of 0.71 when contrasted with the best instance of 0.91 with the single-hop transmission.


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    Title :

    Connectivity Improvement in Cluster-Based VANET


    Contributors:


    Publication date :

    2022-06-24


    Size :

    547158 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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