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 …

A survey on deep neural network compression: Challenges, overview, and solutions

R Mishra, HP Gupta, T Dutta - arXiv preprint arXiv:2010.03954, 2020 - arxiv.org
Deep Neural Network (DNN) has gained unprecedented performance due to its automated
feature extraction capability. This high order performance leads to significant incorporation …

sCrop: A novel device for sustainable automatic disease prediction, crop selection, and irrigation in Internet-of-Agro-Things for smart agriculture

V Udutalapally, SP Mohanty, V Pallagani… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
Agriculture Cyber-Physical System (A-CPS) is becoming increasingly important in
enhancing crop quality and productivity by utilizing minimum cropland. This paper …

Mobile edge cooperation optimization for wearable internet of things: a network representation-based framework

X Kong, S Tong, H Gao, G Shen… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
As a new computing paradigm, edge computing emerges in various fields. Many tasks
previously relied on cloud computing are distributed to various edge devices that cooperate …

An efficient online computation offloading approach for large-scale mobile edge computing via deep reinforcement learning

Z Hu, J Niu, T Ren, B Dai, Q Li, M Xu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Mobile edge computing (MEC) has been envisioned as a promising paradigm that could
effectively enhance the computational capacity of wireless user devices (WUDs) and quality …

Real-time task scheduling in fog-cloud computing framework for iot applications: A fuzzy logic based approach

HS Ali, RR Rout, P Parimi… - … COMmunication Systems & …, 2021 - ieeexplore.ieee.org
As an extension of the cloud, a fog computing environment facilitates the deployment of
Internet of Things (IoT) applications by shifting the computing, storage and networking …

FAT-ETO: Fuzzy-AHP-TOPSIS-Based efficient task offloading algorithm for scientific workflows in heterogeneous fog–cloud environment

P Shukla, S Pandey, P Hatwar, A Pant - Proceedings of the national …, 2023 - Springer
Due to the inherent variation across fog, cloud and end devices, task offloading and
resource allocation have become complicated issues in a heterogeneous fog–cloud …

Fast-DRD: Fast decentralized reinforcement distillation for deadline-aware edge computing

S Song, Z Fang, J Jiang - Information processing & management, 2022 - Elsevier
Edge computing has recently gained momentum as it provides computing services for
mobile devices through high-speed networks. In edge computing system optimization, deep …

Toward sustainable micro-level fog-federated load sharing in internet of vehicles

Z Sharmin, AW Malik, AU Rahman… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Advancement of technology has enabled access to innovative applications for connected
devices. To handle growing computation requirements, the backend cloud data centers …

Scheduling policies for AoI minimization with timely throughput constraints

E Fountoulakis, T Charalambous… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
In 5G and beyond communication systems, the notion of latency gets great momentum in
wireless connectivity as a metric for serving real-time communications requirements …