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 …

[PDF][PDF] Optimized mobile edge computing framework for IoT based medical sensor network nodes

JS Raj, S Jennifer - Journal of Ubiquitous Computing and …, 2021 - academia.edu
Edge computing is a new computing paradigm that is rapidly emerging in various fields.
Task completion is performed by various edge devices with distributed cloud computing in …

Efficient and flexible management for industrial internet of things: A federated learning approach

Y Guo, Z Zhao, K He, S Lai, J Xia, L Fan - Computer Networks, 2021 - Elsevier
In this paper, we devise an efficient and flexible management for mobile edge computing
(MEC)-aided industrial Internet of Things (IIoT), from a federated learning approach. In the …

In-edge ai: Intelligentizing mobile edge computing, caching and communication by federated learning

X Wang, Y Han, C Wang, Q Zhao, X Chen… - Ieee …, 2019 - ieeexplore.ieee.org
Recently, along with the rapid development of mobile communication technology, edge
computing theory and techniques have been attracting more and more attention from global …

Edge-cloud computing for Internet of Things data analytics: Embedding intelligence in the edge with deep learning

AM Ghosh, K Grolinger - IEEE Transactions on Industrial …, 2020 - ieeexplore.ieee.org
Rapid growth in numbers of connected devices including sensors, mobile, wearable, and
other Internet of Things (IoT) devices, is creating an explosion of data that are moving across …

Intelligence-empowered mobile edge computing: Framework, issues, implementation, and outlook

K Jiang, C Sun, H Zhou, X Li, M Dong… - IEEE Network, 2021 - ieeexplore.ieee.org
Recently, artificial intelligence (AI) is undergoing a sustained success renaissance as it can
substantially improve networks' cognitive performance and intelligence, thereby contributing …

V-Edge: Virtual edge computing as an enabler for novel microservices and cooperative computing

F Dressler, CF Chiasserini, FHP Fitzek, H Karl… - IEEE …, 2022 - ieeexplore.ieee.org
As we move from 5G to 6G, edge computing is one of the concepts that needs revisiting. Its
core idea is still intriguing: Instead of sending all data and tasks from an end user's device to …

Federated learning-based computation offloading optimization in edge computing-supported internet of things

Y Han, D Li, H Qi, J Ren, X Wang - Proceedings of the ACM Turing …, 2019 - dl.acm.org
Recent visualizations of smart cities, factories, healthcare system and etc. raise challenges
on the capability and connectivity of massive Internet of Things (IoT) devices. Hence, edge …

Deep reinforcement learning based mobile edge computing for intelligent Internet of Things

R Zhao, X Wang, J Xia, L Fan - Physical Communication, 2020 - Elsevier
In this paper, we investigate mobile edge computing (MEC) networks for intelligent internet
of things (IoT), where multiple users have some computational tasks assisted by multiple …

Energy-efficient resource allocation for heterogeneous edge-cloud computing

W Hua, P Liu, L Huang - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
With the rapid development of Internet of Things (IoT) technology, billions of mobile devices
(MDs) are putting a massive burden on limited radio resources. Mobile-edge computing …