A novel edge computing architecture based on adaptive stratified sampling

D Zhang, C Ni, J Zhang, T Zhang, P Yang… - Computer …, 2022 - Elsevier
With the development of the Internet of Things technology, the current amount of data
generated by the Internet of Things system is increasing, and these data are continuously …

A survey on industry 4.0 for the oil and gas industry: Upstream sector

O Elijah, PA Ling, SKA Rahim, TK Geok, A Arsad… - IEEE …, 2021 - ieeexplore.ieee.org
The market volatility in the oil and gas (O&G) sector, the dwindling demand for oil due to the
impact of COVID-19, and the push for alternative greener energy are driving the need for …

Artificial intelligence for edge service optimization in internet of vehicles: A survey

X Xu, H Li, W Xu, Z Liu, L Yao… - Tsinghua Science and …, 2021 - ieeexplore.ieee.org
The Internet of Vehicles (IoV) plays a crucial role in providing diversified services because of
its powerful capability of collecting real-time information. Generally, collected information is …

A survey on security and privacy issues in edge-computing-assisted internet of things

A Alwarafy, KA Al-Thelaya, M Abdallah… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
Internet of Things (IoT) is an innovative paradigm envisioned to provide massive
applications that are now part of our daily lives. Millions of smart devices are deployed within …

A privacy preserving framework for federated learning in smart healthcare systems

W Wang, X Li, X Qiu, X Zhang, V Brusic… - Information Processing & …, 2023 - Elsevier
Federated Learning (FL) is a platform for smart healthcare systems that use wearables and
other Internet of Things enabled devices. However, source inference attacks (SIAs) can infer …

Distributed edge computing offloading algorithm based on deep reinforcement learning

Y Li, F Qi, Z Wang, X Yu, S Shao - IEEE Access, 2020 - ieeexplore.ieee.org
As a mode of processing task request, edge computing paradigm can reduce task delay and
effectively alleviate network congestion caused by the proliferation of Internet of things (IoT) …

[HTML][HTML] Edge-oriented computing: A survey on research and use cases

NA Sulieman, L Ricciardi Celsi, W Li, A Zomaya… - Energies, 2022 - mdpi.com
Edge computing is a distributed computing paradigm such that client data are processed at
the periphery of the network, as close as possible to the originating source. Since the 21st …

Edge computing and its convergence with blockchain in 5G and beyond: Security, challenges, and opportunities

SA Bhat, IB Sofi, CY Chi - IEEE Access, 2020 - ieeexplore.ieee.org
The internet is progressing towards a new technology archetype grounded on smart
systems, heavily relying on artificial intelligence (AI), machine learning (ML), blockchain …

Joint task offloading and resource allocation for multi-task multi-server NOMA-MEC networks

J Xue, Y An - IEEE Access, 2021 - ieeexplore.ieee.org
By offloading computationally intensive tasks of smart end devices to edge servers deployed
at the edge of the network, mobile edge computing (MEC) has become a promising …

[HTML][HTML] Early detection of earthquakes using iot and cloud infrastructure: A survey

MS Abdalzaher, M Krichen, D Yiltas-Kaplan… - Sustainability, 2023 - mdpi.com
Earthquake early warning systems (EEWS) are crucial for saving lives in earthquake-prone
areas. In this study, we explore the potential of IoT and cloud infrastructure in realizing a …