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.
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
Springer Proceed. Business, Economics
International Conference on Business Intelligence & Modelling ; 2021 ; Athens, Greece December 18, 2021 - December 19, 2021
2024-02-14
20 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
solar collective cluster drone's collection method with solar panel
Europäisches Patentamt | 2021
|DRONE'S UNMANNED CHARGING STATION AND CONTROL METHOD THEREOF
Europäisches Patentamt | 2023