Toward QoS monitoring in IoT edge devices driven healthcare—a systematic literature review

MI Younas, MJ Iqbal, A Aziz, AH Sodhro - Sensors, 2023 - mdpi.com
Smart healthcare is altering the delivery of healthcare by combining the benefits of IoT,
mobile, and cloud computing. Cloud computing has tremendously helped the health industry …

On the dependability of 6G networks

I Ahmad, F Rodriguez, J Huusko, K Seppänen - Electronics, 2023 - mdpi.com
Sixth-generation communication networks must be highly dependable due to the foreseen
connectivity of critical infrastructures through them. Dependability is a compound metric of …

Energy-sustainable iot connectivity: Vision, technological enablers, challenges, and future directions

OLA López, OM Rosabal… - IEEE Open Journal …, 2023 - ieeexplore.ieee.org
Technology solutions must effectively balance economic growth, social equity, and
environmental integrity to achieve a sustainable society. Notably, although the Internet of …

[HTML][HTML] A machine learning based distributed congestion control protocol for multi-hop wireless networks

JPA León, LJ de la Cruz Llopis, FJ Rico-Novella - Computer Networks, 2023 - Elsevier
The application areas of multi-hop wireless networks are expected to experience sustained
growth in the next years. This growth will be further supported by the current possibility of …

RAIDS: robust autoencoder-based intrusion detection system model against adversarial attacks

A Sarıkaya, BG Kılıç, M Demirci - Computers & Security, 2023 - Elsevier
Abstract Machine learning-based intrusion detection systems (IDS) are essential security
functions in conventional and software-defined networks alike. Their success and the …

Deep learning for the security of software-defined networks: a review

R Taheri, H Ahmed, E Arslan - Cluster Computing, 2023 - Springer
As the scale and complexity of networks grow rapidly, management, maintenance, and
optimization of them are becoming increasingly challenging tasks for network administrators …

A joint communication and learning framework for hierarchical split federated learning

LU Khan, M Guizani, A Al-Fuqaha… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
In contrast to methods relying on a centralized training, emerging Internet of Things (IoT)
applications can employ federated learning (FL) to train a variety of models for performance …

Joint time and energy-optimal approach to allocate task to actors in wireless sensor actor networks

M Okhovvat, MT Kheirabadi, MR Okhovvat, A Nodehi - Computer Networks, 2023 - Elsevier
In most applications of wireless sensor actor networks (WSANs) in harsh environments,
minimizing the make-span and maximizing the residual energy are of paramount …

Data-driven Integrated Sensing and Communication: Recent Advances, Challenges, and Future Prospects

H Salem, MD Quamar, A Mansoor, M Elrashidy… - arXiv preprint arXiv …, 2023 - arxiv.org
Integrated Sensing and Communication (ISAC), combined with data-driven approaches, has
emerged as a highly significant field, garnering considerable attention from academia and …

Network virtualization empowered metaverse: A hierarchical matching approach

LU Khan, M Guizani, I Yaqoob, A Al-Fuqaha… - Authorea …, 2023 - techrxiv.org
Metaverse has generated significant interest for enabling wireless systems due to its self-
sustainability and proactive analytic capabilities. It enables the deployment of meta spaces …