Edge and fog computing for IoT: A survey on current research activities & future directions

M Laroui, B Nour, H Moungla, MA Cherif, H Afifi… - Computer …, 2021 - Elsevier
Abstract The Internet of Things (IoT) allows communication between devices, things, and
any digital assets that send and receive data over a network without requiring interaction …

Resource allocation and task scheduling in fog computing and internet of everything environments: A taxonomy, review, and future directions

B Jamil, H Ijaz, M Shojafar, K Munir… - ACM Computing Surveys …, 2022 - dl.acm.org
The Internet of Everything paradigm is being rapidly adopted in developing applications for
different domains like smart agriculture, smart city, big data streaming, and so on. These IoE …

Blockchain for Internet of Things: A survey

HN Dai, Z Zheng, Y Zhang - IEEE internet of things journal, 2019 - ieeexplore.ieee.org
Internet of Things (IoT) is reshaping the incumbent industry to smart industry featured with
data-driven decision-making. However, intrinsic features of IoT result in a number of …

Edge AI: On-demand accelerating deep neural network inference via edge computing

E Li, L Zeng, Z Zhou, X Chen - IEEE Transactions on Wireless …, 2019 - ieeexplore.ieee.org
As a key technology of enabling Artificial Intelligence (AI) applications in 5G era, Deep
Neural Networks (DNNs) have quickly attracted widespread attention. However, it is …

Edge-enabled two-stage scheduling based on deep reinforcement learning for internet of everything

X Zhou, W Liang, K Yan, W Li, I Kevin… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
Nowadays, the concept of Internet of Everything (IoE) is becoming a hotly discussed topic,
which is playing an increasingly indispensable role in modern intelligent applications. These …

Energy-efficient fog computing for 6G-enabled massive IoT: Recent trends and future opportunities

UM Malik, MA Javed, S Zeadally… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Fog computing is a promising technology that can provide storage and computational
services to future 6G networks. To support the massive Internet-of-Things (IoT) applications …

Deadline-aware and energy-efficient IoT task scheduling in fog computing systems: A semi-greedy approach

S Azizi, M Shojafar, J Abawajy, R Buyya - Journal of network and computer …, 2022 - Elsevier
With the rapid advancement of Internet of Things (IoT) devices, a variety of IoT applications
that require a real-time response and low latency have emerged. Fog computing has …

[HTML][HTML] Smart healthcare IoT applications based on fog computing: architecture, applications and challenges

VK Quy, NV Hau, DV Anh, LA Ngoc - Complex & Intelligent Systems, 2022 - Springer
The history of human development has proven that medical and healthcare applications for
humanity always are the main driving force behind the development of science and …

Partial offloading scheduling and power allocation for mobile edge computing systems

Z Kuang, L Li, J Gao, L Zhao… - IEEE Internet of Things …, 2019 - ieeexplore.ieee.org
Mobile edge computing (MEC) is a promising technique to enhance computation capacity at
the edge of mobile networks. The joint problem of partial offloading decision, offloading …

A survey of UAV-based data collection: Challenges, solutions and future perspectives

K Messaoudi, OS Oubbati, A Rachedi, A Lakas… - Journal of Network and …, 2023 - Elsevier
Abstract Internet of Things (IoT) generates unlimited data, which should be collected and
forwarded toward a central controller (CC) for further processing and decision-making …