Coverage control for UAV swarm communication networks: A distributed learning approach

N Gao, L Liang, D Cai, X Li, S Jin - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
Recently, unmanned aerial vehicle (UAV) swarm communication has drawn much attention
in search and rescue (SAR) missions owing to its wide wireless coverage and increasing …

Learning-in-Games Approach for the Mission Planning of Autonomous Multi-Drone Spatio-Temporal Sensing

VU Castrillo, D Pascarella, G Pigliasco, I Iudice… - IEEE …, 2024 - ieeexplore.ieee.org
Mission planners are one of the major classes of autonomy software and their design is
especially challenging in the case cooperation autonomy is required for unmanned multi …

Game-Theoretic Mission Planning of Drone Teams in Autonomous Detection and Recognition

VU Castrillo, I Iudice, D Pascarella… - … on Technologies for …, 2023 - ieeexplore.ieee.org
Cooperative autonomous systems are a priority objective for military research &
development of unmanned vehicles. Drone teams are one of the most prominent …

Artificial Intelligence Empowered UAVs Data Offloading in Mobile Edge Computing

NA Kemp - 2019 - digitalrepository.unm.edu
The advances introduced by Unmanned Aerial Vehicles (UAVs) are manifold and have
paved the path for the full integration of UAVs, as intelligent objects, into the Internet of …

SOSAP: A Pareto-efficient Spectrum Access Protocol for Cognitive Radio Networks

S Iellamo, M Coupechoux… - 2016 IEEE 84th Vehicular …, 2016 - ieeexplore.ieee.org
Decentralized cognitive radio networks (CRN) require efficient channel access protocols to
enable cognitive secondary users (SUs) to access the primary channels in an opportunistic …