In this paper, the high-altitude UAVs (HA-UAVs) act as a data collector that receives critical data from low-altitude UAV (LA-UAVs) in regular intervals, whereas the LA-UAVs are used as base stations that provide services to vehicles in a metro city. As UAVs are spatially spread over roads, an efficient method is needed to find optimal path among the UAVs such that high-altitude UAVs can reach on time to receive critical data. In the state-of-the-art methodology, an optimal path is found in exponential time. We have proposed a novel algorithm on which the problem is resolved in polynomial time using a dynamic programming approach. This efficient solution helps to save HA-UAVs energy and deployment cost.


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    Title :

    A Novel Smart Data Collection Approach in UAV-Enabled Smart Transportation System


    Additional title:

    Lect. Notes in Networks, Syst.




    Publication date :

    2022-07-28


    Size :

    8 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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