Deep learning in the industrial internet of things: Potentials, challenges, and emerging applications
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 …
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 …
The Industrial Internet of Things (IIoT) refers to the use of smart sensors, actuators, fast
communication protocols, and efficient cybersecurity mechanisms to improve industrial …
communication protocols, and efficient cybersecurity mechanisms to improve industrial …
Edge computing aware NOMA for 5G networks
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 …
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 …
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 …
and manage every single activity of their entities. However, the interdependence …
Data management in industry 4.0: State of the art and open challenges
Information and communication technologies are permeating all aspects of industrial and
manufacturing systems, expediting the generation of large volumes of industrial data. This …
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 …
industrial business concepts in recent years. Thus, to efficiently integrate Internet of things …
Optimal edge resource allocation in IoT-based smart cities
With IoT-based smart cities, massive heterogeneous IoT devices are running diverse
advanced services for unprecedented intelligence and efficiency in various domains of city …
advanced services for unprecedented intelligence and efficiency in various domains of city …
Energy-efficient cooperative resource allocation in wireless powered mobile edge computing
Mobile edge computing (MEC) as an emerging and prospective computing paradigm,
offloads the computation-intensive tasks from resources-constrained smart mobile devices …
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
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 …
and service components on computational resources from the cloud up to the edge, creating …