Beyond games: a systematic review of neural Monte Carlo tree search applications

M Kemmerling, D Lütticke, RH Schmitt - Applied Intelligence, 2024 - Springer
The advent of AlphaGo and its successors marked the beginning of a new paradigm in
playing games using artificial intelligence. This was achieved by combining Monte Carlo …

Energy efficiency optimization of IRS and UAV-assisted wireless powered edge networks

X Wang, J Li, J Wu, L Guo, Z Ning - IEEE Journal of Selected …, 2024 - ieeexplore.ieee.org
With the surge in the number of Internet of Things (IoT) devices and latency-sensitive
services such as smart cities and smart factories, Next Generation Multiple Access (NGMA) …

Ensuring threshold AoI for UAV-assisted mobile crowdsensing by multi-agent deep reinforcement learning with transformer

H Wang, CH Liu, H Yang, G Wang… - IEEE/ACM Transactions …, 2023 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV) crowdsensing (UCS) is an emerging data collection
paradigm to provide reliable and high quality urban sensing services, with age-of …

Footstone of metaverse: A timely and secure crowdsensing

W Wang, Y Yang, Z Xiong, D Niyato - IEEE Network, 2023 - ieeexplore.ieee.org
Recently, the metaverse has been a hot research topic that fuses multiple cutting-edge
techniques, including virtual reality (VR), augmented reality (AR), artificial intelligence (AI) …

Aoi-guaranteed incentive mechanism for mobile crowdsensing with freshness concerns

Y Xu, M Xiao, Y Zhu, J Wu, S Zhang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With the explosive spread of smart mobile devices, Mobile CrowdSensing (MCS) has been
becoming a promising paradigm, by which a platform can coordinate a group of workers to …

An exploratory bibliometric analysis of the literature on the age of information-aware unmanned aerial vehicles aided communication

UA Bukar, MS Sayeed, SFA Razak, S Yogarayan… - Informatica, 2023 - informatica.si
Real-time status updates require more frequent updates with fresh information. This study
investigates the applications and research potential of unmanned aerial vehicles (UAV) for …

AoI-aware incentive mechanism for mobile crowdsensing using stackelberg game

M Xiao, Y Xu, J Zhou, J Wu, S Zhang… - IEEE INFOCOM 2023 …, 2023 - ieeexplore.ieee.org
Mobile CrowdSensing (MCS) is a mobile computing paradigm, through which a platform can
coordinate a crowd of workers to accomplish large-scale data collection tasks using their …

Sharing instant delivery UAVs for crowdsensing: A data-driven performance study

J Gao, Y Pan, X Zhang, Q Han, Y Hu - Computers & Industrial Engineering, 2024 - Elsevier
In recent years, there has been a significant increase in demand for instant deliveries, such
as rapid delivery of takeaway food and medicine. Many logistics companies are planning to …

When Connected and Automated Vehicles Meet Mobile Crowdsensing: A Perception and Transmission Framework in the Metaverse

X Yu, C Wang, L Xu, C Wu, Z Wang… - IEEE Vehicular …, 2023 - ieeexplore.ieee.org
The metaverse employs globally distributed computing and communication infrastructures to
construct an immersive digital world. Its continuous synchronization and hyperinteractivity …

Scheduling UAV swarm with attention-based graph reinforcement learning for ground-to-air heterogeneous data communication

J Ren, Y Xu, Z Li, C Hong, XP Zhang… - Adjunct Proceedings of the …, 2023 - dl.acm.org
In disaster scenarios, unmanned aerial vehicles (UAVs) can serve as mobile base stations
because of their maneuverability and synergy. However, due to constrained UAV …