State-of-the-Art and Future Research Challenges in UAV Swarms
Due to their potential to accomplish complicated missions more effectively, UAV swarms
have attracted a lot of attention lately. UAV swarm offers enhanced intelligence, improved …
have attracted a lot of attention lately. UAV swarm offers enhanced intelligence, improved …
Blockchain model for environment/infrastructure monitoring in cloud-enabled high-altitude platform systems
The recently accentuated features of augmenting conventional wireless networks with high
altitude platform systems (HAPS) have fueled a plethora of applications, which promise to …
altitude platform systems (HAPS) have fueled a plethora of applications, which promise to …
Joint Optimization of Trajectory Control, Task Offloading, and Resource Allocation in Air–Ground Integrated Networks
In an air–ground integrated network (AGIN), low-altitude unmanned aerial vehicles (UAVs)
and a high-altitude platform (HAP) operate synergistically to support computationally …
and a high-altitude platform (HAP) operate synergistically to support computationally …
[HTML][HTML] Q-learning-aided offloading strategy in edge-assisted federated learning over industrial IoT
S Wu, H Xue, L Zhang - Electronics, 2023 - mdpi.com
Federated learning (FL) is a key solution to realizing a cost-efficient and intelligent Industrial
Internet of Things (IIoT). To improve training efficiency and mitigate the straggler effect of FL …
Internet of Things (IIoT). To improve training efficiency and mitigate the straggler effect of FL …
[HTML][HTML] Enhanced Ant Colony Optimization for Vehicular Ad Hoc Networks Using Fittest Node Clustering
Vehicular ad hoc networks (VANETs) are a rapidly evolving field at the intersection of
intelligent transportation systems, emphasizing the need for a stable and scalable VANET …
intelligent transportation systems, emphasizing the need for a stable and scalable VANET …
Collision avoidance in target encirclement and tracking of unmanned aerial vehicles under a dynamic event-triggered formation control
This paper addresses the dynamic event-triggered fixed-time distributed control problem of
unmanned aerial vehicle (UAV) formation for target encirclement and tracking with collision …
unmanned aerial vehicle (UAV) formation for target encirclement and tracking with collision …
Static Deep Q-Learning for Green Downlink C-RAN
Power saving is a main pillar in the operation of wireless communication systems. In this
paper, we investigate cloud radio access network (C-RAN) capability to reduce power …
paper, we investigate cloud radio access network (C-RAN) capability to reduce power …
[HTML][HTML] Iterative Trajectory Planning and Resource Allocation for UAV-Assisted Emergency Communication with User Dynamics
The demand for air-to-ground communication has surged in recent years, underscoring the
significance of unmanned aerial vehicles (UAVs) in enhancing mobile communication …
significance of unmanned aerial vehicles (UAVs) in enhancing mobile communication …
Reinforcement Learning based Energy-Efficient Fast Routing for FANETs
Reinforcement learning (RL) based flying ad-hoc network (FANET) routing enables
unmanned aerial vehicles (UAVs) to choose the next-hop to increase the packet delivery …
unmanned aerial vehicles (UAVs) to choose the next-hop to increase the packet delivery …
Dynamic Packet Routing Based on Acoustic Signal Curve Propagation in the AUV-Assisted IoUT
Autonomous underwater vehicles (AUVs) can function as sensor nodes in Internet of
Underwater Things (IoUT), contributing to ocean exploration and monitoring by collecting …
Underwater Things (IoUT), contributing to ocean exploration and monitoring by collecting …