Previously, vehicular ad hoc networks (VANETs) were designed by using several geographic routing schemes. That doesn’t sustain any routing configurations in the existing geographic routing methods. Vehicular Ad hoc Network is networks which consist of mobile nodes, consequently it is very harsh to make and remain up end-to-end links. The main aim of this research work is widespread inter vehicle distance, high speed of vehicles also supports the density of vehicle is altered. The exact real time location information of vehicles is accessed with high reliability via vehicle to vehicle inter connection. Due to frequent link entrapped and rapid topology changes it is not easy to augment well-organized routing etiquettes for VANETs. To find the exact location of stirring vehicles is very difficult and may incur in the existing routing networks. Additionally, the position information about stirring vehicle accessible to other vehicles is usually time-lagged as it is always stirring over time. Luckily, we scrutinize that the interim upcoming locations of vehicles can be forecast. Anchored in the significant surveillance, we propose a novel approach for geographic routing. It uses the extrapolative locations of automobiles. The etiquettes anchored in the vehicles' positions also called as geographic routing protocols (GR) were uncovered to be the most adequate to the VANETs because of their sturdiness in making with the dynamic environment changes and the high- ceilinged mobility of the automobiles. The etiquette is incorporated with a multi-hop information delivery virtualization deal that works on the crest of the transportation stratum and gives soaring speed for multi-hop one after the other information broadcasts. We demeanor practical computer imitations to display the recital advantage of the etiquette over additional approaches at the indistinguishable time vigor efficiency will be enhanced.


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    Title :

    Exploring Vanet Routing Using A Novel Geographic Routing Protocol


    Contributors:


    Publication date :

    2023-04-29


    Size :

    975635 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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