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

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: 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.