Performance Evaluation of Simulated UAV Mobile Hotspot Modelling

Abstract

Unmanned Aerial Vehicles (UAVs) have shown significant growth and utilization in several applications like agriculture, construction, and disaster management. Nevertheless, a considerable obstacle that persists is the restricted operational durability, principally attributed to limitations in battery capacity. This study focuses on the issue of enhancing energy efficiency in Unmanned Aerial Vehicles (UAVs) that serve as mobile hotspots. It explicitly targets situations when the UAVs need to operate for extended periods of time to provide coverage for events and emergencies. This project aims to create and verify a simulation model that can accurately forecast energy usage and improve battery efficiency in various operational scenarios. A full UAV model is created using MATLAB Simulink, which integrates characteristics such as flight dynamics, propulsion, hovering positions, battery conditions, and network load. The model is subjected to simulation using different trajectories and scenarios to assess its performance. The key findings suggest that the power used for flight propulsion, communication, and computation has a substantial impact on the operational duration of the UAV. The simulation findings demonstrate several approaches to enhance energy efficiency, prolonging the UAV's durability. This study offers useful insights for future research on energy-efficient UAV designs, highlighting the significance of employing realistic simulation models throughout the first phases of UAV development. The results contribute to advancing unmanned aerial vehicles (UAVs) that maintain consistent performance and safety during long missions, especially when used as mobile internet access points in crucial scenarios.