Applications of wireless sensor networks and internet of things frameworks in the industry revolution 4.0: A systematic literature review

M Majid, S Habib, AR Javed, M Rizwan, G Srivastava… - Sensors, 2022 - mdpi.com
The 21st century has seen rapid changes in technology, industry, and social patterns. Most
industries have moved towards automation, and human intervention has decreased, which …

A survey of intelligent network slicing management for industrial IoT: Integrated approaches for smart transportation, smart energy, and smart factory

Y Wu, HN Dai, H Wang, Z Xiong… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
Network slicing has been widely agreed as a promising technique to accommodate diverse
services for the Industrial Internet of Things (IIoT). Smart transportation, smart energy, and …

A survey on the convergence of edge computing and AI for UAVs: Opportunities and challenges

P McEnroe, S Wang, M Liyanage - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
The latest 5G mobile networks have enabled many exciting Internet of Things (IoT)
applications that employ unmanned aerial vehicles (UAVs/drones). The success of most …

Security and privacy on 6g network edge: A survey

B Mao, J Liu, Y Wu, N Kato - IEEE communications surveys & …, 2023 - ieeexplore.ieee.org
To meet the stringent service requirements of 6G applications such as immersive cloud
eXtended Reality (XR), holographic communication, and digital twin, there is no doubt that …

Blockchain-empowered distributed multi-camera multi-target tracking in edge computing

S Wang, H Sheng, Y Zhang, D Yang… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
The rapid increase in the volume of video data generated from edges in the Industrial
Internet of Things, opens up new possibilities for enhancing the application of video service …

Applications of blockchain in industry 4.0: A review

Y Chen, Y Lu, L Bulysheva, MY Kataev - Information Systems Frontiers, 2022 - Springer
As the key component of Industry 4.0, IoT has been widely used in various fields of industry.
But cloud-based data storage, computation, and communication in IoT cause many issues …

Variational few-shot learning for microservice-oriented intrusion detection in distributed industrial IoT

W Liang, Y Hu, X Zhou, Y Pan, I Kevin… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Along with the popularity of the Internet of Things (IoT) techniques with several
computational paradigms, such as cloud and edge computing, microservice has been …

Graph neural networks for anomaly detection in industrial internet of things

Y Wu, HN Dai, H Tang - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
The Industrial Internet of Things (IIoT) plays an important role in digital transformation of
traditional industries toward Industry 4.0. By connecting sensors, instruments, and other …

[PDF][PDF] Convergence between Blockchain and the Internet of Things

A Cruz - International Journal of Technology, Innovation and …, 2021 - journals.gaftim.com
The objective of this study was to determine the effectiveness of a particular convergence
model for IoT and blockchain. Multiple regression model was selected to determine the …

Edge-enabled two-stage scheduling based on deep reinforcement learning for internet of everything

X Zhou, W Liang, K Yan, W Li, I Kevin… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
Nowadays, the concept of Internet of Everything (IoE) is becoming a hotly discussed topic,
which is playing an increasingly indispensable role in modern intelligent applications. These …