[HTML][HTML] Development of a lightweight centralized authentication mechanism for the Internet of Things driven by fog

J Lansky, M Sadrishojaei, AM Rahmani, MH Malik… - Mathematics, 2022 - mdpi.com
The rapid development of technology has made the Internet of Things an integral element of
modern society. Modern Internet of Things' implementations often use Fog computing, an …

AI-driven and MEC-empowered confident information coverage hole recovery in 6G-enabled IoT

Y Xia, X Deng, L Yi, LT Yang, X Tang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
With the development of 6G, a series of ultra-reliable intelligent IoT applications have been
promoted, which puts forward higher requirements for the security and reliability of networks …

Internet of things sensing networks, smart manufacturing big data, and digitized mass production in sustainable Industry 4.0.

E Hopkins, A Siekelova - Economics, Management & Financial Markets, 2021 - ceeol.com
This article presents an empirical study carried out to evaluate and analyze Internet of
Things sensing networks, smart manufacturing big data, and digitized mass production in …

[HTML][HTML] Towards containerized, reuse-oriented AI deployment platforms for cognitive IoT applications

T Veiga, HA Asad, FA Kraemer, K Bach - Future Generation Computer …, 2023 - Elsevier
IoT applications with their resource-constrained sensor devices can benefit from adjusting
their operations to the phenomena they sense and the environments they operate in …

Edge-aided control dynamics for information diffusion in social internet of things

Y Yi, Z Zhang, LT Yang, X Wang, C Gan - Neurocomputing, 2022 - Elsevier
Abstract Information diffusion in social Internet of Things (SIoT) brings convenience to life,
but it also faces challenges. The explosive growth of information exceeds the computing …

Ethically responsible and trustworthy autonomous systems for 6G

Y Wu - IEEE Network, 2022 - ieeexplore.ieee.org
Following commercial deployment of SG, 6G research has attracted attention from both
academia and industry. 6G will continue to support what has been promised in SG, and in …

[HTML][HTML] kubeFlower: A privacy-preserving framework for Kubernetes-based federated learning in cloud–edge environments

JM Parra-Ullauri, H Madhukumar… - Future Generation …, 2024 - Elsevier
Federated Learning (FL) enables collaborative model training across edge devices while
preserving data locally. Deploying FL faces challenges due to device heterogeneity. Using …

Energy Efficient End Device Aware Solution Through SDN in Edge-Cloud Platform

SS Patra, R Govindaraj, S Chowdhury, MA Shah… - IEEE …, 2022 - ieeexplore.ieee.org
Recently, the networking industries have gone through tremendous changes. It demands
high-speed operations and complex problem-solving abilities. To manage these evolutions …

Human-Centric Resource Allocation for the Metaverse With Multiaccess Edge Computing

Z Long, H Dong, A El Saddik - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
Multiaccess edge computing (MEC) is a promising solution to the computation-intensive, low-
latency rendering tasks of the metaverse. However, how to optimally allocate limited …

Horizontal auto-scaling for multi-access edge computing using safe reinforcement learning

K Ray, A Banerjee - ACM Transactions on Embedded Computing …, 2021 - dl.acm.org
Multi-Access Edge Computing (MEC) has emerged as a promising new paradigm allowing
low latency access to services deployed on edge servers to avert network latencies often …