Task offloading paradigm in mobile edge computing-current issues, adopted approaches, and future directions

MY Akhlaqi, ZBM Hanapi - Journal of Network and Computer Applications, 2023 - Elsevier
Many enterprise companies migrate their services and applications to the cloud to benefit
from cloud computing advantages. Meanwhile, the rapidly increasing number of connected …

Load forecasting with machine learning and deep learning methods

M Cordeiro-Costas, D Villanueva, P Eguía-Oller… - Applied Sciences, 2023 - mdpi.com
Characterizing the electric energy curve can improve the energy efficiency of existing
buildings without any structural change and is the basis for controlling and optimizing …

A comprehensive review on internet of things task offloading in multi-access edge computing

W Dayong, KBA Bakar, B Isyaku, TAE Eisa… - Heliyon, 2024 - cell.com
With the rapid development of Internet of Things (IoT) technology, Terminal Devices (TDs)
are more inclined to offload computing tasks to higher-performance computing servers …

A multilayered audio signal encryption approach for secure voice communication

HA Abdallah, S Meshoul - Electronics, 2022 - mdpi.com
In this paper, multilayer cryptosystems for encrypting audio communications are proposed.
These cryptosystems combine audio signals with other active concealing signals, such as …

CoPUP: Content popularity and user preferences aware content caching framework in mobile edge computing

M Yasir, SK uz Zaman, T Maqsood, F Rehman… - Cluster …, 2023 - Springer
Mobile edge computing (MEC) enables intelligent content caching at the network edge to
reduce traffic and enhance content delivery efficiency. In MEC architecture, popular content …

Modified artificial bee colony based feature optimized federated learning for heart disease diagnosis in healthcare

MM Yaqoob, M Nazir, A Yousafzai, MA Khan… - Applied Sciences, 2022 - mdpi.com
Heart disease is one of the lethal diseases causing millions of fatalities every year. The
Internet of Medical Things (IoMT) based healthcare effectively enables a reduction in death …

Content-aware network traffic prediction framework for quality of service-aware dynamic network resource management

WA Aziz, II Ioannou, M Lestas, HK Qureshi… - IEEE …, 2023 - ieeexplore.ieee.org
Next-generation mobile networks, such as Fifth-Generation (5G), and Sixth-Generation (6G)
are envisioned to undergo an unprecedented transformation from connected things to …

Application and research of IoT architecture for End-Net-Cloud Edge computing

Y Zhang, H Yu, W Zhou, M Man - Electronics, 2022 - mdpi.com
At the edge of the network close to the source of the data, edge computing deploys
computing, storage and other capabilities to provide intelligent services in close proximity …

Machine learning analytic-based two-staged data management framework for internet of things

O Farooq, P Singh, M Hedabou, W Boulila, B Benjdira - Sensors, 2023 - mdpi.com
In applications of the Internet of Things (IoT), where many devices are connected for a
specific purpose, data is continuously collected, communicated, processed, and stored …

Far-field wireless power transfer for the Internet of Things

T Nusrat, S Roy, AA Lotfi-Neyestanak, S Noghanian - Electronics, 2022 - mdpi.com
A complete end-to-end far-field wireless power transfer (WPT) is proposed and studied in
this paper for the application of the Internet of Things (IoT) at the industrial, scientific, and …