Machine Learning for Healthcare-IoT Security: A Review and Risk Mitigation

MA Khatun, SF Memon, C Eising, LL Dhirani - IEEE Access, 2023 - ieeexplore.ieee.org
The Healthcare Internet-of-Things (H-IoT), commonly known as Digital Healthcare, is a data-
driven infrastructure that highly relies on smart sensing devices (ie, blood pressure monitors …

[HTML][HTML] Machine learning-based approaches for handover decision of cellular-connected drones in future networks: A comprehensive review

M Zaid, MKA Kadir, I Shayea, Z Mansor - Engineering Science and …, 2024 - Elsevier
The integration of cellular connectivity in drones signifies a crucial leap forward, offering the
potential to revolutionize multiple industries. This comprehensive review examines the latest …

Real-Time Monitoring of Underground Miners' Status Based on Mine IoT System

Y Jiang, W Chen, X Zhang, X Zhang, G Yang - Sensors, 2024 - mdpi.com
Real-time monitoring and timely risk warnings for the safety, health, and fatigue of
underground miners are essential for establishing intelligent mines, enhancing the safety of …

An approach for using a tensor-based method for mobility-user pattern determining

IP Ashaev, IA Safiullin, AK Gaysin, AF Nadeev… - Inventions, 2023 - mdpi.com
Modern mobile networks exhibit a complex heterogeneous structure. To enhance the Quality
of Service (QoS) in these networks, intelligent control mechanisms should be implemented …

Mobile Networks Toward 5G/6G: Network Architecture, Opportunities and Challenges in Smart City

S Islam, ZA Atallah, AK Budati… - IEEE Open Journal …, 2024 - ieeexplore.ieee.org
This research meticulously delves into the dynamic evolution of mobile networks, specifically
charting the course from 4G to 6G within the context of smart cities. It carefully illuminates the …

[PDF][PDF] For Optimizing Network Resilence Through Advanced Graph Theory Algorithms

GV Subbaiah, NS Patil, C Sugandhi… - The International …, 2024 - researchgate.net
This study researches the application of Advanced Graph Theory algorithms to further
develop network resilience. Algorithms such as centralized analysis, community detection …

Handover algorithm based on Bayesian-optimized LSTM and multi-attribute decision making for heterogeneous networks

Y Luo, Y Zhang, C Du, H Zhang, Y Liu - Ad Hoc Networks, 2024 - Elsevier
Heterogeneous networks (HetNets) which can satisfy the diverse requirements of future
terminal tasks through providing different network access services for terminals, have …

Radio Resource Allocation Fairness in Cooperative Cognitive Radio Relay Networks

E Obayiuwana, U Uyota, O Ipinnimo - Wireless Personal Communications, 2024 - Springer
Imbalance and unfairness in resource allocation and utilization can lead to a degraded
network environment where wireless network users experience poor quality of service (QoS) …

RANFusion: A Comprehensive Tool for Simulating Handover In Next-G RAN

SBH Natanzi, B Tang - arXiv preprint arXiv:2405.19480, 2024 - arxiv.org
The rapid advancement of 5G networks and the upcoming transition to 6G necessitate the
use of the Open Radio Access Network (O-RAN) architecture to enable greater flexibility …

Optimizing Adaptive Video Streaming: A Fuzzy Logic Approach to Resource Allocation

K Khan - arXiv preprint arXiv:2407.01543, 2024 - arxiv.org
The demand for high-quality video streaming has propelled the evolution of adaptive
streaming systems. Efficient resource allocation is paramount to ensuring optimal viewer …