Machine learning applications in internet-of-drones: systematic review, recent deployments, and open issues
Deep Learning (DL) and Machine Learning (ML) are effectively utilized in various
complicated challenges in healthcare, industry, and academia. The Internet of Drones (IoD) …
complicated challenges in healthcare, industry, and academia. The Internet of Drones (IoD) …
Topology control algorithms in multi-unmanned aerial vehicle networks: An extensive survey
In recent years, unmanned aerial vehicles (UAVs) have attracted increased attention from
academic and industrial research communities, owing to their wide range of potential …
academic and industrial research communities, owing to their wide range of potential …
[HTML][HTML] Unmanned aerial vehicles (UAVs): Practical aspects, applications, open challenges, security issues, and future trends
Recently, unmanned aerial vehicles (UAVs) or drones have emerged as a ubiquitous and
integral part of our society. They appear in great diversity in a multiplicity of applications for …
integral part of our society. They appear in great diversity in a multiplicity of applications for …
Reliability theory and practice for unmanned aerial vehicles
L Xing, BW Johnson - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
Due to rapid advancements on the Internet of Things (IoT), unmanned aerial vehicles
(UAVs), also known as drones, are transforming numerous military and civil application …
(UAVs), also known as drones, are transforming numerous military and civil application …
Reinforcement learning-based routing protocols in flying ad hoc networks (FANET): A review
In recent years, flying ad hoc networks have attracted the attention of many researchers in
industry and universities due to easy deployment, proper operational costs, and diverse …
industry and universities due to easy deployment, proper operational costs, and diverse …
Edge-native intelligence for 6G communications driven by federated learning: A survey of trends and challenges
New technological advancements in wireless networks have enlarged the number of
connected devices. The unprecedented surge of data volume in wireless systems …
connected devices. The unprecedented surge of data volume in wireless systems …
Solving Vehicle Routing Problem for Intelligent Systems using Delaunay Triangulation
Intelligent Systems are of many types. This work focuses mainly about the autonomous
drones and UAVs. Only for military objectives were Unmanned Aerial Vehicles (UAV) …
drones and UAVs. Only for military objectives were Unmanned Aerial Vehicles (UAV) …
Energy efficient neuro-fuzzy cluster based topology construction with metaheuristic route planning algorithm for unmanned aerial vehicles
At present times, unmanned aerial vehicles (UAVs) received significant attention among
several application areas and services in both defense and civilian domains. The existence …
several application areas and services in both defense and civilian domains. The existence …
Scheduling and securing drone charging system using particle swarm optimization and blockchain technology
Unmanned aerial vehicles (UAVs) have emerged as a powerful technology for introducing
untraditional solutions to many challenges in non-military fields and industrial applications in …
untraditional solutions to many challenges in non-military fields and industrial applications in …
Physical layer aspects of terahertz-enabled UAV communications: Challenges and opportunities
Terahertz (THz) band communication and unmanned aerial vehicles (UAVs) have been
identified as two candidate 6G technologies. While the THz spectrum provides abundant …
identified as two candidate 6G technologies. While the THz spectrum provides abundant …