Edge computing with artificial intelligence: A machine learning perspective

H Hua, Y Li, T Wang, N Dong, W Li, J Cao - ACM Computing Surveys, 2023 - dl.acm.org
Recent years have witnessed the widespread popularity of Internet of things (IoT). By
providing sufficient data for model training and inference, IoT has promoted the development …

[HTML][HTML] The big picture on the internet of things and the smart city: a review of what we know and what we need to know

A Rejeb, K Rejeb, S Simske, H Treiblmaier, S Zailani - Internet of Things, 2022 - Elsevier
This study examines how the application of the IoT in smart cities is discussed in the current
academic literature. Based on bibliometric techniques, 1,802 articles were retrieved from the …

Convergence of edge computing and deep learning: A comprehensive survey

X Wang, Y Han, VCM Leung, D Niyato… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
Ubiquitous sensors and smart devices from factories and communities are generating
massive amounts of data, and ever-increasing computing power is driving the core of …

Artificial intelligence techniques in smart grid: A survey

OA Omitaomu, H Niu - Smart Cities, 2021 - mdpi.com
The smart grid is enabling the collection of massive amounts of high-dimensional and multi-
type data about the electric power grid operations, by integrating advanced metering …

Edge intelligence: Empowering intelligence to the edge of network

D Xu, T Li, Y Li, X Su, S Tarkoma, T Jiang… - Proceedings of the …, 2021 - ieeexplore.ieee.org
Edge intelligence refers to a set of connected systems and devices for data collection,
caching, processing, and analysis proximity to where data are captured based on artificial …

Deep learning for IoT big data and streaming analytics: A survey

M Mohammadi, A Al-Fuqaha, S Sorour… - … Surveys & Tutorials, 2018 - ieeexplore.ieee.org
In the era of the Internet of Things (IoT), an enormous amount of sensing devices collect
and/or generate various sensory data over time for a wide range of fields and applications …

Machine learning at the network edge: A survey

MGS Murshed, C Murphy, D Hou, N Khan… - ACM Computing …, 2021 - dl.acm.org
Resource-constrained IoT devices, such as sensors and actuators, have become ubiquitous
in recent years. This has led to the generation of large quantities of data in real-time, which …

Deploying fog computing in industrial internet of things and industry 4.0

M Aazam, S Zeadally, KA Harras - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Rapid technological advances have revolutionized the industrial sector. These advances
range from automation of industrial processes to autonomous industrial processes, where a …

Fog computing: Survey of trends, architectures, requirements, and research directions

RK Naha, S Garg, D Georgakopoulos… - IEEE …, 2018 - ieeexplore.ieee.org
Emerging technologies such as the Internet of Things (IoT) require latency-aware
computation for real-time application processing. In IoT environments, connected things …

Fog computing approaches in IoT-enabled smart cities

M Songhorabadi, M Rahimi… - Journal of Network and …, 2023 - Elsevier
These days, the development of smart cities, specifically in location-aware, latency-sensitive,
and security-crucial applications (such as emergency fire events, patient health monitoring …