The amount of data generated by sensors, actuators, and other devices in the Internet of Things (IoT) has substantially increased in the last few years. IoT data are currently …
L Kong, J Tan, J Huang, G Chen, S Wang, X Jin… - ACM Computing …, 2022 - dl.acm.org
The Internet of Things (IoT) is impacting the world's connectivity landscape. More and more IoT devices are connected, bringing many benefits to our daily lives. However, the influx of …
Cloud computing has significantly enhanced the growth of the Internet of Things (IoT) by ensuring and supporting the Quality of Service (QoS) of IoT applications. However, cloud …
The rapid growth of the Internet of Things (IoT) applications and their interference with our daily life tasks have led to a large number of IoT devices and enormous sizes of IoT …
X Kong, Y Wu, H Wang, F Xia - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
In this era of the Internet of Everything (IoE), edge computing has emerged as the critical enabling technology to solve a series of issues caused by an increasing amount of …
Y Chiang, Y Zhang, H Luo, TY Chen… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
With the development of telecommunication technologies and the proliferation of network applications in the past decades, the traditional cloud network architecture becomes unable …
W Yu, F Liang, X He, WG Hatcher, C Lu, J Lin… - IEEE …, 2017 - ieeexplore.ieee.org
The Internet of Things (IoT) now permeates our daily lives, providing important measurement and collection tools to inform our every decision. Millions of sensors and devices are …
J Ren, Y Pan, A Goscinski, RA Beyah - IEEE Network, 2018 - ieeexplore.ieee.org
By moving data computation and service supply from the cloud to the edge, edge computing has become a promising solution to address the limitations of cloud computing in supporting …
R Singh, SS Gill - Internet of Things and Cyber-Physical Systems, 2023 - Elsevier
Artificial Intelligence (AI) at the edge is the utilization of AI in real-world devices. Edge AI refers to the practice of doing AI computations near the users at the network's edge, instead …