A survey of UAV-based data collection: Challenges, solutions and future perspectives

K Messaoudi, OS Oubbati, A Rachedi, A Lakas… - Journal of network and …, 2023 - Elsevier
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 …

Generative models for synthetic urban mobility data: A systematic literature review

A Kapp, J Hansmeyer, H Mihaljević - ACM Computing Surveys, 2023 - dl.acm.org
Although highly valuable for a variety of applications, urban mobility data are rarely made
openly available, as it contains sensitive personal information. Synthetic data aims to solve …

Advanced optimizer for maximum power point tracking of photovoltaic systems in smart grid: A roadmap towards clean energy technologies

S Zheng, M Shahzad, HM Asif, J Gao, HA Muqeet - Renewable Energy, 2023 - Elsevier
With the increased load demand and generation cost of electricity, renewable energy
sources (RES) provide cost effective and environment-friendly solution. Integration of solar …

TVD-RA: A truthful data value discovery based reverse auction incentive system for mobile crowd sensing

H Wang, A Liu, NN Xiong, S Zhang… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Emerging crowdsensing paradigm enables a large number of sensing applications, where
much attention is drawn to the fundamental problems for maximizing the system utility and …

Semantics-aware dynamic graph convolutional network for traffic flow forecasting

G Liang, U Kintak, X Ning, P Tiwari… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Traffic flow forecasting is a challenging task due to its spatio-temporal nature and the
stochastic features underlying complex traffic situations. Currently, Graph Convolutional …

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 …

Big data analytics and smart cities: applications, challenges, and opportunities

E Cesario - Frontiers in big data, 2023 - frontiersin.org
Urban environments continuously generate larger and larger volumes of data, whose
analysis can provide descriptive and predictive models as valuable support to inspire and …

Teri: An effective framework for trajectory recovery with irregular time intervals

Y Chen, G Cong, C Anda - Proceedings of the VLDB Endowment, 2023 - dl.acm.org
The proliferation of trajectory data has facilitated various applications in urban spaces, such
as travel time estimation, traffic monitoring, and flow prediction. These applications require a …

An incentive mechanism for vehicular crowdsensing with security protection and data quality assurance

X Cai, L Zhou, F Li, Y Fu, P Zhao, C Li… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With the increase of on-board sensors, as a new paradigm of mobile crowdsensing (MCS),
vehicular crowdsensing (VCS) shows great potential in realizing low-cost, large-scale …

Joint service migration and resource allocation in edge IoT system based on deep reinforcement learning

F Liu, H Yu, J Huang, T Taleb - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
Multiaccess edge computing (MEC) provides services for resource-sensitive and delay-
sensitive Internet of Things (IoT) applications by extending the capabilities of cloud …