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Drones, Volume 9, Issue 5
May 2025 - 66 articles
Cover Story: In the context of Smart Cities, Unmanned Aerial Vehicles (UAVs) have emerged as pivotal devices. Their integration in the Computing Continuum (CC) ensures enhanced data collection and processing to support decision-making in urban development. By integrating cloud, fog, and edge computing, CC offers a promising solution by distributing processing power, enabling real-time data analysis, and providing adaptive control mechanisms. To effectively manage multi-UAV operations for delivery logistics, the proposed CC-based solution adopts an Ant Colony Optimization algorithm to solve a Capacitated Vehicle Routing Problem for planning purposes and a Model Predictive Control (MPC) approach for trajectory tracking and collision avoidance. View this paper
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Drones - ISSN 2504-446XCreative Common CC BY license