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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    Titel :

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


    Weitere Titelangaben:

    Lect. Notes in Networks, Syst.


    Beteiligte:
    Rout, Rashmi Ranjan (Herausgeber:in) / Ghosh, Soumya Kanti (Herausgeber:in) / Jana, Prasanta K. (Herausgeber:in) / Tripathy, Asis Kumar (Herausgeber:in) / Sahoo, Jyoti Prakash (Herausgeber:in) / Li, Kuan-Ching (Herausgeber:in) / Swain, Satyabrata (Autor:in) / Tripathy, Asis Kumar (Autor:in)


    Erscheinungsdatum :

    28.07.2022


    Format / Umfang :

    8 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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