When internet of things meets metaverse: Convergence of physical and cyber worlds

K Li, Y Cui, W Li, T Lv, X Yuan, S Li, W Ni… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
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 …

UAV-Assisted IoT Applications, QoS Requirements and Challenges with Future Research Directions

M Adil, H Song, M Jan, M Khan, X He, A Farouk… - ACM Computing …, 2024 - dl.acm.org
Unmanned Aerial Vehicle (UAV)-assisted Internet of Things application communication is an
emerging concept that effectuate the foreknowledge of innovative technologies. With the …

Deep reinforcement learning for internet of drones networks: issues and research directions

N Aboueleneen, A Alwarafy… - IEEE Open Journal of the …, 2023 - ieeexplore.ieee.org
Internet of Drones (IoD) is one of the promising technologies to enhance the performance of
wireless networks. Deploying IoD to assist wireless networks, however, needs to address …

Machine learning for enhancing transportation security: A comprehensive analysis of electric and flying vehicle systems

H Alqahtani, G Kumar - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
This paper delves into the transformative role of machine learning (ML) techniques in
revolutionizing the security of electric and flying vehicles (EnFVs). By exploring key domains …

Priority-aware task assignment and path planning for efficient and load-balanced multi-UAV operation

S Poudel, S Moh - Vehicular Communications, 2023 - Elsevier
Unmanned aerial vehicles (UAVs) have emerged as a viable option in numerous real-world
applications. In large mission planning systems, demanding the effective completion of a …

Advancing UAV Communications: A Comprehensive Survey of Cutting-Edge Machine Learning Techniques

C Sun, G Fontanesi, B Canberk… - IEEE Open Journal …, 2024 - ieeexplore.ieee.org
This paper provides a comprehensive overview of the evolution of Machine Learning (ML),
from traditional to advanced, in its application and integration into unmanned aerial vehicle …

Flying path optimization of rechargeable UAV for data collection in wireless sensor networks

Y Zhu, S Wang - IEEE Sensors Letters, 2023 - ieeexplore.ieee.org
In this letter, we study a novel framework to realize efficient data collection from wireless
sensor networks, where an unmanned aerial vehicle (UAV) is dispatched to collect the …

Computational Intelligence Algorithms for UAV Swarm Networking and Collaboration: A Comprehensive Survey and Future Directions

P Cao, L Lei, S Cai, G Shen, X Liu… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV) swarm networking and collaboration have significant
prospects in both civilian and military applications, due to its remarkable properties in …

A Comprehensive Survey on 5G-and-Beyond Networks with UAVs: Applications, Emerging Technologies, Regulatory Aspects, Research Trends and Challenges

M Banafaa, Ö Pepeoğlu, I Shayea, A Alhammadi… - IEEE …, 2024 - ieeexplore.ieee.org
The rapid advancement of fifth-generation (5G)-and-beyond networks coupled with
unmanned aerial vehicles (UAVs) has opened up exciting possibilities for diverse …

A machine learning based method for object detection and localization using a monocular rgb camera equipped drone

A Javaid, MA Syed, U Baroudi - 2023 International Wireless …, 2023 - ieeexplore.ieee.org
Growing Unmanned Aerial Vehicle (UAV) market trends and interest in potential uses such
as monitoring, visual inspection, object detection, and path planning have shown promising …