An overview on edge computing research

K Cao, Y Liu, G Meng, Q Sun - IEEE access, 2020 - ieeexplore.ieee.org
With the rapid development of the Internet of Everything (IoE), the number of smart devices
connected to the Internet is increasing, resulting in large-scale data, which has caused …

[HTML][HTML] TinyML for ultra-low power AI and large scale IoT deployments: A systematic review

N Schizas, A Karras, C Karras, S Sioutas - Future Internet, 2022 - mdpi.com
The rapid emergence of low-power embedded devices and modern machine learning (ML)
algorithms has created a new Internet of Things (IoT) era where lightweight ML frameworks …

Deep learning models for cloud, edge, fog, and IoT computing paradigms: Survey, recent advances, and future directions

S Ahmad, I Shakeel, S Mehfuz, J Ahmad - Computer Science Review, 2023 - Elsevier
In recent times, the machine learning (ML) community has recognized the deep learning
(DL) computing model as the Gold Standard. DL has gradually become the most widely …

[HTML][HTML] Dynamic routings in satellite networks: An overview

X Cao, Y Li, X Xiong, J Wang - Sensors, 2022 - mdpi.com
The Satellite network is an important part of the global network. However, the complex
architecture, changeable constellation topology, and frequent inter-satellite connection …

The benefits of edge computing in healthcare, smart cities, and IoT

R Dave, N Seliya, N Siddiqui - arXiv preprint arXiv:2112.01250, 2021 - arxiv.org
Recent advancements in technology now allow for the generation of massive quantities of
data. There is a growing need to transmit this data faster and more securely such that it …

[PDF][PDF] Flexible task scheduling based on edge computing and cloud collaboration.

S Wang, W Wang, Z Jia, C Pang - Computer Systems Science & …, 2022 - cdn.techscience.cn
With the rapid development and popularization of 5G and the Internet of Things, a number of
new applications have emerged, such as driverless cars. Most of these applications are time …

A CMOS image sensor and an AI accelerator for realizing edge-computing-based surveillance camera systems

F Morishita, N Kato, S Okubo, T Toi… - 2021 Symposium on …, 2021 - ieeexplore.ieee.org
This paper presents a CMOS image sensor and an AI accelerator to realize surveillance
camera systems based on edge computing. For CMOS image sensors to be used for …

The Power of Internet of Things (IoT): Connecting the Dots with Cloud, Edge, and Fog Computing

SF Ahmed, S Shuravi, S Afrin, SJ Rafa… - arXiv preprint arXiv …, 2023 - arxiv.org
The Internet of Things (IoT) is regarded as an improved communication system that has
revolutionized traditional lifestyles. To function successfully, IoT requires a combination of …

Optimizing Heterogeneity in IoT Infra Using Federated Learning and Blockchain-based Security Strategies

V Muthukumar, R Sivakami… - INTERNATIONAL …, 2023 - fsja.univagora.ro
Abstract The Internet of Things (IoT) and associated capabilities are becoming
indispensable in the planning, operation, and administration of intricate systems of all sizes …

A Review of Privacy and Security of Edge Computing in Smart Healthcare Systems: Issues, Challenges, and Research Directions

A Alzu'bi, A Alomar, S Alkhaza'leh… - Tsinghua Science …, 2024 - ieeexplore.ieee.org
The healthcare industry is rapidly adapting to new computing environments and
technologies. With academics increasingly committed to developing and enhancing …