Deep learning in the industrial internet of things: Potentials, challenges, and emerging applications

RA Khalil, N Saeed, M Masood, YM Fard… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
Recent advances in the Internet of Things (IoT) are giving rise to a proliferation of
interconnected devices, allowing the use of various smart applications. The enormous …

[HTML][HTML] Deep learning for the industrial internet of things (iiot): A comprehensive survey of techniques, implementation frameworks, potential applications, and future …

S Latif, M Driss, W Boulila, ZE Huma, SS Jamal… - Sensors, 2021 - mdpi.com
The Industrial Internet of Things (IIoT) refers to the use of smart sensors, actuators, fast
communication protocols, and efficient cybersecurity mechanisms to improve industrial …

Edge computing aware NOMA for 5G networks

A Kiani, N Ansari - IEEE Internet of Things Journal, 2018 - ieeexplore.ieee.org
With the fast development of Internet of Things (IoT), the fifth generation (5G) wireless
networks need to provide massive connectivity of IoT devices and meet the demand for low …

Energy-delay tradeoff for dynamic offloading in mobile-edge computing system with energy harvesting devices

G Zhang, W Zhang, Y Cao, D Li… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Mobile-edge computing (MEC) has aroused significant attention for its performance to
accelerate application's operation and enrich user's experience. With the increasing …

A secure IoT sensors communication in industry 4.0 using blockchain technology

G Rathee, M Balasaraswathi, KP Chandran… - Journal of Ambient …, 2021 - Springer
Industrial IoT in the advancement of organizations consigns to the next level in order to trace
and manage every single activity of their entities. However, the interdependence …

Data management in industry 4.0: State of the art and open challenges

TP Raptis, A Passarella, M Conti - IEEE Access, 2019 - ieeexplore.ieee.org
Information and communication technologies are permeating all aspects of industrial and
manufacturing systems, expediting the generation of large volumes of industrial data. This …

Industrial IoT data scheduling based on hierarchical fog computing: A key for enabling smart factory

DA Chekired, L Khoukhi… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Industry 4.0 or industrial Internet of things (IIoT) has become one of the most talked-about
industrial business concepts in recent years. Thus, to efficiently integrate Internet of things …

Optimal edge resource allocation in IoT-based smart cities

L Zhao, J Wang, J Liu, N Kato - IEEE Network, 2019 - ieeexplore.ieee.org
With IoT-based smart cities, massive heterogeneous IoT devices are running diverse
advanced services for unprecedented intelligence and efficiency in various domains of city …

Energy-efficient cooperative resource allocation in wireless powered mobile edge computing

L Ji, S Guo - IEEE Internet of Things Journal, 2018 - ieeexplore.ieee.org
Mobile edge computing (MEC) as an emerging and prospective computing paradigm,
offloads the computation-intensive tasks from resources-constrained smart mobile devices …

Towards low-latency service delivery in a continuum of virtual resources: State-of-the-art and research directions

J Santos, T Wauters, B Volckaert… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
The advent of softwarized networks has enabled the deployment of chains of virtual network
and service components on computational resources from the cloud up to the edge, creating …