Localization and data collection in AUV-aided underwater sensor networks: Challenges and opportunities

R Su, D Zhang, C Li, Z Gong, R Venkatesan… - IEEE …, 2019 - ieeexplore.ieee.org
With the fast growing demand for underwater applications such as marine environmental
monitoring, undersea resource exploration, disaster prevention and monitoring, assisted …

Machine learning for intelligent authentication in 5G and beyond wireless networks

H Fang, X Wang, S Tomasin - IEEE Wireless Communications, 2019 - ieeexplore.ieee.org
The 5G and beyond wireless networks are critical to support diverse vertical applications by
connecting heterogeneous devices and machines, which directly increase vulnerability for …

Maritime search and rescue based on group mobile computing for unmanned aerial vehicles and unmanned surface vehicles

T Yang, Z Jiang, R Sun, N Cheng… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Accidents often occur at sea, so effective maritime search and rescue is essential. In the
current process of sea search and rescue, the operation efficiency of large search and …

Machine learning-enabled cooperative spectrum sensing for non-orthogonal multiple access

Z Shi, W Gao, S Zhang, J Liu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In this paper, multiple machine learning-enabled solutions are adopted to tackle the
challenges of complex sensing model in cooperative spectrum sensing for non-orthogonal …

Blockchain-based key management for heterogeneous flying ad hoc network

Y Tan, J Liu, N Kato - IEEE Transactions on Industrial …, 2020 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV) is recognized as one of the best sensing tools for gathering
data in the industrial Internet of things sector. Besides, the flying ad hoc network (FANET) …

AI-assisted secure data transmission techniques for next-generation HetNets: A review

H Sharma, G Sharma, N Kumar - Computer Communications, 2023 - Elsevier
Abstract Heterogeneous Networks (HetNets) play an imperative role in enhancing the
quality-of-service (QoS) for end-users by increasing the spectral efficiency (SE) of the …

Fast authentication and progressive authorization in large-scale IoT: How to leverage AI for security enhancement

H Fang, A Qi, X Wang - IEEE network, 2020 - ieeexplore.ieee.org
Security provisioning has become the most important design consideration for large-scale
Internet of Things (IoT) systems due to their critical roles in supporting diverse vertical …

IRS backscatter enhancing against jamming and eavesdropping attacks

Y Cao, S Xu, J Liu, N Kato - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
This article proposes a novel intelligent reflecting surface (IRS) backscatter enhancing
strategy to secure multi-input multioutput (MIMO) transmission in the presence of an …

Location-based online task assignment and path planning for mobile crowdsensing

W Gong, B Zhang, C Li - IEEE Transactions on Vehicular …, 2018 - ieeexplore.ieee.org
Mobile crowdsensing has been a promising and cost-effective sensing paradigm for the
Internet of Things by exploiting the proliferation and prevalence of sensor-rich mobile …

Extracting human-like driving behaviors from expert driver data using deep learning

K Sama, Y Morales, H Liu, N Akai… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
This paper introduces a method to extract driving behaviors from a human expert driver
which are applied to an autonomous agent to reproduce proactive driving behaviors. Deep …