Learning in the air: Secure federated learning for UAV-assisted crowdsensing

Y Wang, Z Su, N Zhang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) combined with artificial intelligence (AI) have opened a
revolutionized way for mobile crowdsensing (MCS). Conventional AI models, built on …

Drones' edge intelligence over smart environments in B5G: Blockchain and federated learning synergy

SH Alsamhi, FA Almalki, F Afghah… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Edge Intelligence is an emerging technology which has attracted significant attention. It
applies Artificial Intelligence (AI) closer to the network edge for supporting Beyond fifth …

Learning-based URLLC-aware task offloading for internet of health things

Z Zhou, Z Wang, H Yu, H Liao, S Mumtaz… - IEEE Journal on …, 2020 - ieeexplore.ieee.org
In the Internet of Health Things (IoHT)-based e-Health paradigm, a large number of
computational-intensive tasks have to be offloaded from resource-limited IoHT devices to …

Mixed game-based AoI optimization for combating COVID-19 with AI bots

Y Yang, W Wang, Z Yin, R Xu, X Zhou… - IEEE Journal on …, 2022 - ieeexplore.ieee.org
Since the outbreak of COVID-19 pandemic in 2020, a dramatic loss of human life has
occurred and this trend presents an unprecedented challenge to public health, economic …

Enabling strong privacy preservation and accurate task allocation for mobile crowdsensing

J Ni, K Zhang, Q Xia, X Lin… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Mobile crowdsensing engages a crowd of individuals to use their mobile devices to
cooperatively collect data about social events and phenomena for customers with common …

Automobile driver fingerprinting: A new machine learning based authentication scheme

Y Xun, J Liu, N Kato, Y Fang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Advanced technologies are constantly emerging in automobile industry, which not only
provides drivers with a comfortable driving experience, but also enhances the safety of …

Design and analysis of probing route to defense sink-hole attacks for Internet of Things security

Y Liu, M Ma, X Liu, NN Xiong, A Liu… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Internet of Things (IoT) applications have been growing significantly in recent years,
however, the security issue has not been well studied in the literature for the IoT ecosystem …

Location privacy-preserving task recommendation with geometric range query in mobile crowdsensing

C Zhang, L Zhu, C Xu, J Ni, C Huang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In mobile crowdsensing, location-based task recommendation requires each data requester
to submit a task-related geometric range to crowdsensing service providers such that they …

Game theory in internet of things: A survey

C Chi, Y Wang, X Tong, M Siddula… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Internet of Things (IoT) devices are being used widely in the fields of smart city, smart grid,
environmental monitoring, Internet of Vehicles and other fields that need large-scale sensing …

UAV enabled content distribution for internet of connected vehicles in 5G heterogeneous networks

Z Su, M Dai, Q Xu, R Li, H Zhang - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The increasing development of Internet of Things (IoT) has led to the emergence of Internet
of connected vehicles (IoCVs). These vehicles with various functionalities have the potential …