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Optimized Aerial Systems for Rapid Victim Identification in Mass Disasters: Analysis of Drone Flight Strategies and Technical Configurations
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Keywords
Unmanned aerial vehicles
disaster management
victim identification
flight path optimization
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Abstract
Rapid and accurate victim identification during mass disasters remains a significant challenge for emergency response systems. Unmanned aerial vehicles (UAVs), particularly drones, have emerged as a critical technology to address these challenges due to their flexibility, scalability, and aerial imaging capabilities. This study investigates the optimization of drone flight strategies and technical configurations to enhance victim detection efficacy. We integrate energy-efficient flight path planning, sensor technology evaluation, and communication protocol analysis to establish a framework that maximizes operational coverage while minimizing energy consumption. Using a comparative assessment of existing methodologies and simulation-based analyses, we identify optimal configurations that balance endurance, sensor resolution, and data transmission efficiency. The results indicate that energy-aware routing protocols, adaptive mobility models, and coordinated swarm strategies significantly improve rapid identification outcomes in disaster environments, offering actionable insights for emergency management agencies.
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