Applications of artificial intelligence and machine learning in smart cities
Smart cities are aimed to efficiently manage growing urbanization, energy consumption,
maintain a green environment, improve the economic and living standards of their citizens …
maintain a green environment, improve the economic and living standards of their citizens …
Towards autonomous multi-UAV wireless network: A survey of reinforcement learning-based approaches
Unmanned aerial vehicle (UAV)-based wireless networks have received increasing
research interest in recent years and are gradually being utilized in various aspects of our …
research interest in recent years and are gradually being utilized in various aspects of our …
Optimizing federated learning in distributed industrial IoT: A multi-agent approach
In this paper, we aim to make the best joint decision of device selection and computing and
spectrum resource allocation for optimizing federated learning (FL) performance in …
spectrum resource allocation for optimizing federated learning (FL) performance in …
When internet of things meets metaverse: Convergence of physical and cyber worlds
In recent years, the Internet of Things (IoT) has been studied in the context of the Metaverse
to provide users with immersive cyber-virtual experiences in mixed-reality environments …
to provide users with immersive cyber-virtual experiences in mixed-reality environments …
A survey of UAV-based data collection: Challenges, solutions and future perspectives
Abstract Internet of Things (IoT) generates unlimited data, which should be collected and
forwarded towards a central controller (CC) for further processing and decision-making …
forwarded towards a central controller (CC) for further processing and decision-making …
AoI-minimal trajectory planning and data collection in UAV-assisted wireless powered IoT networks
This article investigates the unmanned aerial vehicle (UAV)-assisted wireless powered
Internet-of-Things system, where a UAV takes off from a data center, flies to each of the …
Internet-of-Things system, where a UAV takes off from a data center, flies to each of the …
Machine learning-aided operations and communications of unmanned aerial vehicles: A contemporary survey
Over the past decade, Unmanned Aerial Vehicles (UAVs) have provided pervasive, efficient,
and cost-effective solutions for data collection and communications. Their excellent mobility …
and cost-effective solutions for data collection and communications. Their excellent mobility …
Blockchain-enabled task offloading with energy harvesting in multi-UAV-assisted IoT networks: A multi-agent DRL approach
Unmanned Aerial Vehicle (UAV) is a promising technology that can serve as aerial base
stations to assist Internet of Things (IoT) networks, solving various problems such as …
stations to assist Internet of Things (IoT) networks, solving various problems such as …
3D UAV trajectory and data collection optimisation via deep reinforcement learning
Unmanned aerial vehicles (UAVs) are now beginning to be deployed for enhancing the
network performance and coverage in wireless communication. However, due to the …
network performance and coverage in wireless communication. However, due to the …
Learning-based UAV path planning for data collection with integrated collision avoidance
Unmanned aerial vehicles (UAVs) are expected to be an integral part of wireless networks,
and determining collision-free trajectory in multi-UAV noncooperative scenarios while …
and determining collision-free trajectory in multi-UAV noncooperative scenarios while …