Abstract: This collection of studies explores advancements in drone technology and its applications across various domains. The first study introduces a novel algorithm for generating aerobatic trajectories for VTOL fixed-wing aircraft using differential flatness, enhancing maneuverability and computational efficiency. Another study focuses on drone detection through ISAR imaging with a millimeter-wave MIMO radar, employing a backprojection algorithm to achieve high-resolution images and improved object distinction. The development of a hybrid VTOL-UAV for surveillance applications is detailed in a third study, which highlights design, testing, and performance evaluations. The Node and Edge Drone Surveillance Problem (NEDSP) is addressed in another paper, optimizing surveillance routes and battery management using mixed-integer linear programming. RF-UAVNet, an advanced CNN for RF-based drone surveillance systems, is introduced, demonstrating high accuracy and efficiency in detection and classification. The security of IoD communications is enhanced through an identity-based proxy signcryption scheme, simplifying key management while ensuring confidentiality and authenticity. A real-time homomorphic authenticated encryption scheme is proposed to secure drone communications, balancing privacy and operational efficiency. The application of Transformer-based models for Named Entity Recognition in drone flight logs is explored to support forensic investigations by improving data extraction accuracy. Finally, a data-driven simulator using a Genetic Algorithm optimizes the positioning of aerial ambulance drones for emergency response, potentially transforming emergency medical services with improved response times. Together, these studies contribute significantly to the advancement of drone technology, addressing challenges in trajectory planning, detection, security, and emergency response.

Keywords: Aerial Ambulance Drones, Out-of-Hospital Cardiac Arrests, Genetic Algorithm, Emergency Response, Simulation, Optimized Deployment, Medical Services

| DOI: 10.17148/IARJSET.2024.11792