Resource scheduling in edge computing: A survey

Q Luo, S Hu, C Li, G Li, W Shi - IEEE communications surveys & …, 2021 - ieeexplore.ieee.org
With the proliferation of the Internet of Things (IoT) and the wide penetration of wireless
networks, the surging demand for data communications and computing calls for the …

[HTML][HTML] Review of virtual power plant operations: Resource coordination and multidimensional interaction

H Gao, T **, C Feng, C Li, Q Chen, C Kang - Applied energy, 2024 - Elsevier
Virtual power plants (VPPs) have become an important technological means for large-scale
distributed energy resources to participate in the operation of power systems and electricity …

Towards edge computing in intelligent manufacturing: Past, present and future

G Nain, KK Pattanaik, GK Sharma - Journal of Manufacturing Systems, 2022 - Elsevier
Abstract Industry 4.0 (I4. 0) is the fourth industrial revolution and a synonym for intelligent
manufacturing. It drives the convergence of several cutting-edge technologies to provoke …

6G wireless systems: A vision, architectural elements, and future directions

LU Khan, I Yaqoob, M Imran, Z Han, CS Hong - IEEE access, 2020 - ieeexplore.ieee.org
Internet of everything (IoE)-based smart services are expected to gain immense popularity in
the future, which raises the need for next-generation wireless networks. Although fifth …

Secure and latency-aware digital twin assisted resource scheduling for 5G edge computing-empowered distribution grids

Z Zhou, Z Jia, H Liao, W Lu, S Mumtaz… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Digital twin (DT) provides accurate guidance for multidimensional resource scheduling in 5G
edge computing-empowered distribution grids by establishing a digital representation of the …

Fusion of federated learning and industrial Internet of Things: A survey

P Boobalan, SP Ramu, QV Pham, K Dev, S Pandya… - Computer Networks, 2022 - Elsevier
Abstract Industrial Internet of Things (IIoT) lays a new paradigm for the concept of Industry
4.0 and paves an insight for new industrial era. Nowadays smart machines and smart …

Machine learning techniques for 5G and beyond

J Kaur, MA Khan, M Iftikhar, M Imran, QEU Haq - IEEE Access, 2021 - ieeexplore.ieee.org
Wireless communication systems play a very crucial role in modern society for
entertainment, business, commercial, health and safety applications. These systems keep …

Secure and energy efficient-based E-health care framework for green internet of things

M Kaur, D Singh, V Kumar, BB Gupta… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
This paper proposes a secure and energy-efficient Internet of Things (IoT) model for e-
health. The main objective is to secure the transmission and retrieval of biomedical images …

Denial of service attacks in edge computing layers: Taxonomy, vulnerabilities, threats and solutions

R Uddin, SAP Kumar, V Chamola - Ad Hoc Networks, 2024 - Elsevier
Edge computing has emerged as the dominant communication technology connecting IoT
and cloud, offering reduced latency and harnessing the potential of edge devices. However …

Resilient machine learning for networked cyber physical systems: A survey for machine learning security to securing machine learning for CPS

FO Olowononi, DB Rawat, C Liu - … Communications Surveys & …, 2020 - ieeexplore.ieee.org
Cyber Physical Systems (CPS) are characterized by their ability to integrate the physical and
information or cyber worlds. Their deployment in critical infrastructure have demonstrated a …