Early detection of earthquakes using iot and cloud infrastructure: A survey

MS Abdalzaher, M Krichen, D Yiltas-Kaplan… - Sustainability, 2023 - mdpi.com
Earthquake early warning systems (EEWS) are crucial for saving lives in earthquake-prone
areas. In this study, we explore the potential of IoT and cloud infrastructure in realizing a …

Iot serverless computing at the edge: A systematic mapping review

V Kjorveziroski, S Filiposka, V Trajkovik - Computers, 2021 - mdpi.com
Serverless computing is a new concept allowing developers to focus on the core
functionality of their code, while abstracting away the underlying infrastructure. Even though …

Edge intelligence in Smart Grids: A survey on architectures, offloading models, cyber security measures, and challenges

DN Molokomme, AJ Onumanyi… - Journal of Sensor and …, 2022 - mdpi.com
The rapid development of new information and communication technologies (ICTs) and the
deployment of advanced Internet of Things (IoT)-based devices has led to the study and …

IoT serverless computing at the edge: Open issues and research direction

V Kjorveziroski, C Bernad Canto… - … on Networks and …, 2021 - repository.ukim.mk
Novel computing paradigms aim to enable better hardware utilization, allowing a greater
number of applications to be executed on the same physical resources. Serverless …

Multi-agent real-time advanced metering infrastructure based on fog computing

I Popović, A Rakić, ID Petruševski - Energies, 2022 - mdpi.com
This effort to make the power grid more intelligent is tightly coupled with the deployment of
advanced metering infrastructure (AMI) as an integral part of the future vision of smart grid …

A low-latency rdp-cordic algorithm for real-time signal processing of edge computing devices in smart grid cyber-physical systems

M Qin, T Liu, B Hou, Y Gao, Y Yao, H Sun - Sensors, 2022 - mdpi.com
Smart grids are being expanded in scale with the increasing complexity of the equipment.
Edge computing is gradually replacing conventional cloud computing due to its low latency …

Workload modeling for microservice-based edge computing in power internet of things

J Zhou, B Cen, Z Cai, Y Chen, Y Sun, H Xue… - IEEE …, 2021 - ieeexplore.ieee.org
Microservice-based edge computing is a key technology to support power system to adapt to
the high concurrency and diversification of application in power Internet of Things. Workload …

Communication delay modeling for wide area measurement system in smart grid Internet of Things networks

MK Hasan, S Islam, M Shafiq… - Wireless …, 2021 - Wiley Online Library
We present communication frameworks, models, and protocols of smart grid Internet of
Things (IoT) networks based on the IEEE and IEC standards. The measurement, control, and …

Nonlinear load harmonic prediction method based on power distribution Internet of Things

Y Dong, F Zhang, X Li, L Zhang, J Yu… - Scientific …, 2021 - Wiley Online Library
A large number of nonlinear loads have an impact on the stable operation of the power
system. To solve this problem, this article proposes a nonlinear load harmonic prediction …

Smart grid data management in a heterogeneous environment with a hybrid load forecasting model

A Albayati, NF Abdullah, A Abu-Samah, AH Mutlag… - Applied Sciences, 2021 - mdpi.com
The power consumption model can be represented in multiple dimensions, and it is
proliferating to include structured and unstructured data. Dealing with such heterogeneous …