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 …

Survey on network slicing for Internet of Things realization in 5G networks

S Wijethilaka, M Liyanage - IEEE Communications Surveys & …, 2021 - ieeexplore.ieee.org
Internet of Things (IoT) is an emerging technology that makes people's lives smart by
conquering a plethora of diverse application and service areas. In near future, the fifth …

[HTML][HTML] Machine learning for wireless sensor networks security: An overview of challenges and issues

R Ahmad, R Wazirali, T Abu-Ain - Sensors, 2022 - mdpi.com
Energy and security are major challenges in a wireless sensor network, and they work
oppositely. As security complexity increases, battery drain will increase. Due to the limited …

A comprehensive survey on interoperability for IIoT: Taxonomy, standards, and future directions

A Hazra, M Adhikari, T Amgoth… - ACM Computing Surveys …, 2021 - dl.acm.org
In the era of Industry 4.0, the Internet-of-Things (IoT) performs the driving position analogous
to the initial industrial metamorphosis. IoT affords the potential to couple machine-to …

Convergence of blockchain and edge computing for secure and scalable IIoT critical infrastructures in industry 4.0

Y Wu, HN Dai, H Wang - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
Critical infrastructure systems are vital to underpin the functioning of a society and economy.
Due to the ever-increasing number of Internet-connected Internet-of-Things (IoT)/Industrial …

Multiplicative long short-term memory-based software-defined networking for handover management in 5G network

AK Bandani, S Riyazuddien… - Signal, Image and Video …, 2023 - Springer
In recent years, the 5G network faces more traffic congestion due to the increasing number
of mobile operators. In the networking field, learning methods are widely used to reduce the …

The duo of artificial intelligence and big data for industry 4.0: Applications, techniques, challenges, and future research directions

SK Jagatheesaperumal, M Rahouti… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
The increasing need for economic, safe, and sustainable smart manufacturing combined
with novel technological enablers has paved the way for artificial intelligence (AI) and big …

The fight against the COVID-19 pandemic with 5G technologies

Y Siriwardhana, C De Alwis, G Gür… - IEEE Engineering …, 2020 - ieeexplore.ieee.org
The coronavirus disease (COVID-19) pandemic has affected the world in an unexpected
manner. The human race is battling against the pandemic while schools, universities …

Multi-access edge computing: A survey

A Filali, A Abouaomar, S Cherkaoui, A Kobbane… - IEEE …, 2020 - ieeexplore.ieee.org
Multi-access Edge Computing (MEC) is a key solution that enables operators to open their
networks to new services and IT ecosystems to leverage edge-cloud benefits in their …

Open, programmable, and virtualized 5G networks: State-of-the-art and the road ahead

L Bonati, M Polese, S D'Oro, S Basagni, T Melodia - Computer Networks, 2020 - Elsevier
Fifth generation (5G) cellular networks will serve a wide variety of heterogeneous use cases,
including mobile broadband users, ultra-low latency services and massively dense …