Abstract Unmanned Aerial Vehicles (UAVs) can offer a plethora of applications, provided that the appropriate ground control and complementary computing and storage services are available in close proximity. To accomplish this, edge cloud platforms, deployed at or close to the base stations, are essential. However, current UAV travel planning does not take into account the resource constraints of such edge cloud platforms. This paper introduces an aligned process for UAV flight planning and networking resource allocation, minimizing the total traveled distance. It proposes two solutions, namely (i) a Multi-access Edge Computing (MEC)-Aware UAVs’ Path planning (MAUP) based on integer linear programming and (ii) an Accelerated MAUP (AMAUP), i.e., a heuristic and scalable approach that adopts the shortest weighted path algorithm considering directed graphs. The performance of the two solutions are evaluated using computer-based simulations and the obtained results demonstrate the effectiveness of the two solutions in achieving their design goals.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Edge cloud resource-aware flight planning for unmanned aerial vehicles



    Erscheinungsdatum :

    2019-01-01


    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    DDC:    629



    Mission Aware Flight Planning for Unmanned Aerial Systems

    Santamaria, E. / Royo, P. / Barrado, C. et al. | British Library Conference Proceedings | 2008


    Mission Aware Flight Planning for Unmanned Aerial Systems

    Santamaria, Eduard / Royo, Pablo / Barrado, Cristina et al. | AIAA | 2008


    UNMANNED AERIAL VEHICLES AND FLIGHT PLANNING METHODS AND APPARATUS

    SKEBA KIRK W / BROWNING DAVID W / ABOZAED MUHAMMAD et al. | Europäisches Patentamt | 2020

    Freier Zugriff

    UNMANNED AERIAL VEHICLES AND FLIGHT PLANNING METHODS AND APPARATUS

    SKEBA KIRK W / BOWNING DAVID W / ABOZAED MUHAMMAD et al. | Europäisches Patentamt | 2018

    Freier Zugriff

    A Risk-aware Path Planning Method for Unmanned Aerial Vehicles

    Primatesta, Stefano / Guglieri, Giorgio / Rizzo, Alessandro | IEEE | 2018