Applications, deployments, and integration of internet of drones (iod): a review

L Abualigah, A Diabat, P Sumari… - IEEE Sensors …, 2021 - ieeexplore.ieee.org
The Internet of Drones (IoD) has become a hot research topic in academia, industry, and
management in current years due to its wide potential applications, such as aerial …

Fast, reliable, and secure drone communication: A comprehensive survey

V Hassija, V Chamola, A Agrawal… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
Drone security is currently a major topic of discussion among researchers and industrialists.
Although there are multiple applications of drones, if the security challenges are not …

Drones' edge intelligence over smart environments in B5G: Blockchain and federated learning synergy

SH Alsamhi, FA Almalki, F Afghah… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Edge Intelligence is an emerging technology which has attracted significant attention. It
applies Artificial Intelligence (AI) closer to the network edge for supporting Beyond fifth …

Swarm-based 4D path planning for drone operations in urban environments

Y Wu, KH Low, B Pang, Q Tan - IEEE transactions on vehicular …, 2021 - ieeexplore.ieee.org
Drones have a wide range of applications in urban environments as they can both enhance
people's daily activities and commercial activities through various operations and …

SEAL: A strategy-proof and privacy-preserving UAV computation offloading framework

Y Wang, Z Su, TH Luan, J Li, Q Xu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Due to the limited battery and computing resource, offloading unmanned aerial vehicles
(UAVs)'computation tasks to ground infrastructure, eg, vehicles, is a fundamental framework …

Task offloading strategy based on reinforcement learning computing in edge computing architecture of internet of vehicles

K Wang, X Wang, X Liu, A Jolfaei - IEEE Access, 2020 - ieeexplore.ieee.org
With the rapid increase of vehicles, the explosive growth of data flow and the increasing
shortage of spectrum resources, the performance of existing task offloading scheme is poor …

Dynamic online trajectory planning for a UAV-enabled data collection system

S Li, F Wu, S Luo, Z Fan, J Chen… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Due to the maneuverability and flexibility of unmanned aerial vehicles (UAVs), the UAV-
enabled data collection systems for wireless sensor networks (WSN) have received …

Secure federated learning by power control for internet of drones

J Yao, N Ansari - IEEE Transactions on Cognitive …, 2021 - ieeexplore.ieee.org
Fog-aided Internet of Drones (IoD), where massive training data are collected by drones and
analyzed in the fog node, can leverage machine learning to provision various services …

Let's trade in the future! A futures-enabled fast resource trading mechanism in edge computing-assisted UAV networks

M Liwang, Z Gao, X Wang - IEEE Journal on Selected Areas in …, 2021 - ieeexplore.ieee.org
Mobile edge computing (MEC) has emerged as one of the key technical aspects of the fifth-
generation (5G) networks. The integration of MEC with resource-constrained unmanned …

Interference management in cellular-connected Internet of Drones networks with drone-pairing and uplink rate-splitting multiple access

MZ Hassan, G Kaddoum, O Akhrif - IEEE internet of things …, 2022 - ieeexplore.ieee.org
Interference management is a key challenge for cellular-connected Internet of Drones (IoD)
networks that employ multiple cellular-connected hovering drones for data acquisition in …