DeepMist: Toward deep learning assisted mist computing framework for managing healthcare big data

S Bebortta, SS Tripathy, S Basheer… - IEEE Access, 2023 - ieeexplore.ieee.org
The prevalence of heart disease has remained a major cause of mortalities across the world
and has been challenging for healthcare providers to detect early symptoms of cardiac …

IoT convergence with machine learning & blockchain: A review

E Fazel, MZ Nezhad, J Rezazadeh, M Moradi… - Internet of Things, 2024 - Elsevier
Introduces the merging of the Internet of Things with cutting-edge technology, including
blockchain concepts, machine learning algorithms, and AI-based wireless connectivity …

DCSP: A delay and cost-aware service placement and load distribution algorithm for IoT-based fog networks

S Azizi, M Shojafar, P Farzin, J Dogani - Computer Communications, 2024 - Elsevier
The service placement problem in a fog-cloud pertains to the intricate task of ascertaining
the optimal placement locations for diverse service replicas that constitute an Internet of …

The journey toward 6G: A digital and societal revolution in the making

L Mohjazi, B Selim, M Tatipamula… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
While the fifth-generation (5G) is bringing an innovative fabric of breakthrough technologies,
enabling smart factories, cities, and Internet-of-Things (IoT), the unprecedented strain on …

Allocating energy-objective aware workflow in distributed edge micro data centres

MM Kadum, X Deng - The Journal of Supercomputing, 2024 - Springer
A workflow is sent from the internet of things (IoT) in the real world to a distributed edge
micro data centre (EMDC), which is assigned to various resources for the necessary …

Deep Learning-Driven Anomaly Detection for Green IoT Edge Networks

AS Bushehri, A Amirnia, A Belkhiri… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
The widespread use of sensor devices in IoT networks imposes a significant burden on
energy consumption at the network's edge. To address energy concerns, a prompt anomaly …

A fog-assisted transport system for persons with disabilities using wearable networks

P Wang - Soft Computing, 2024 - Springer
Advancements in internet of things (IoT) technology have empowered the creation of
intelligent systems for enhancing the lives of persons with disabilities (PWDs) by improving …

Optimized Energy Management with Fuzzy Clustering for Heterogeneous Fog-Mist-IoT Networks

SE Essalhi, MJ Idrissi, MR El Fenni… - 2023 6th International …, 2023 - ieeexplore.ieee.org
The rapid expansion of the Internet of Things (IoT) has led to an era dominated by diverse
networks, with Mist and Fog computing becoming crucial for closer-to-device data …

Leveraging towards dynamic allocations of mist nodes for IoT-Mist-Fog-Cloud system using M/Er/1 queueing model

S Behera, M Kandpal, V Goswami… - 2023 OITS …, 2023 - ieeexplore.ieee.org
The Internet of Things (IoT) is becoming increasingly important in today's information era as
it rapidly acquires various data types. The IoT and cloud environments both produce …

Investigating IoT-Enabled 6G Communications: Opportunities and Challenges

R Belkeziz, R Chefira, O Tibssirte - International Conference on Computing …, 2023 - Springer
IoT has gained considerable momentum over the years. The development of standards and
protocols has enabled the growth of huge and varied applications. Starting with an overview …