During recent years, advances in drone technologies have made them applicable in various
fields of industry, and their popularity continues to grow. In this paper, the academic …

In this paper, we propose a reinforcement learning approach of collision avoidance and
investigate optimal trajectory planning for unmanned aerial vehicle (UAV) communication …

Mobile edge computing (MEC) reduces the computational distance between the source and
the servers by fortifying near-user site evaluations of data for expedited communications …

The increasing availability of autonomous small-size Unmanned Aerial Vehicles (UAVs) has
provided a promising way for data gathering from Wireless Sensor Networks (WSNs) with …

In this paper, we study the employment of multiple Unmanned Aerial Vehicles (UAVs) to
monitor Points of Interests (PoIs) in a disaster area, eg, collapsed buildings after an …

In this paper, we consider the problem of completely flying over an area just hit by an
earthquake with a fleet of Unmanned Aerial Vehicles (UAVs) to opportunely direct rescue …

In this paper, we address the problem of path planning for multiple unmanned aerial
vehicles (UAVs), to gather data from a number of roadside units (RSUs). The problem …

Digital agriculture, with the incorporation of Internet-of-Things (IoT)-based technologies,
presents the ability to control a system at multiple levels (individual, local, regional, and …

Multi-rotor drones have witnessed a drastic usage increase in several smart city applications
due to their 3D mobility, flexibility, and low cost. Collectively, they can be used to accomplish …

Fleets of cooperative drones are a powerful tool in monitoring critical scenarios requiring
early anomaly discovery and intervention. Due to limited energy availability and application …