The problem of long-haul flight has not yet been adequately solved with the use of unmanned aerial vehicles (UAVs). Conventional engines are usually at a disadvantage due to limited capacity for non-renewable fuels, but in theory, a renewable energy source would allow self-sustaining flight. However, most official research to date focuses on the development of aircraft with huge wings, while overlooking tiny UAVs due to difficulties in effective degradation. Meticulous energy-saving techniques make continuous flight a reality. Minimizing aircraft mass reduces engine load, saving energy. Further efficiency is based on a built-in system that, with minimal load, can dynamically coordinate aircraft behavior for strategic energy savings, such as gliding, disabling non-critical electronics and altitude adjustment. The goal of the UAV is to maintain a permanent station in the air without being dependent on human intervention. Many applications will benefit from a low-cost, standalone, permanently airborne platform:

    Monitoring of weather conditions

    Emergency communications and

    High-altitude scientific research

    Its smaller size, lower cost, and lower maintenance requirements will allow the rapid development of drone-specific applications in a sky-based network. The present research work studies the problem, aiming to bring an improvement in the process with the use of modeling and simulation.


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    Titel :

    Assessment of the Berkeley Solar Drone’s Ability to Save Energy and Assist in the Development of Fifth Generation Mobile Networks with IoT Capability, Modeling and Optimization


    Weitere Titelangaben:

    Springer Proceed. Business, Economics



    Kongress:

    International Conference on Business Intelligence & Modelling ; 2021 ; Athens, Greece December 18, 2021 - December 19, 2021



    Erscheinungsdatum :

    2024-02-14


    Format / Umfang :

    20 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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