[HTML][HTML] All one needs to know about fog computing and related edge computing paradigms: A complete survey

A Yousefpour, C Fung, T Nguyen, K Kadiyala… - Journal of Systems …, 2019 - Elsevier
Abstract With the Internet of Things (IoT) becoming part of our daily life and our environment,
we expect rapid growth in the number of connected devices. IoT is expected to connect …

Edge-computing architectures for internet of things applications: A survey

S Hamdan, M Ayyash, S Almajali - Sensors, 2020 - mdpi.com
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 …

SVM‐based generative adverserial networks for federated learning and edge computing attack model and outpoising

P Manoharan, R Walia, C Iwendi, TA Ahanger… - Expert …, 2023 - Wiley Online Library
Abstract Machine learning are vulnerable to the threats. The Intruders can utilize the
malicious nature of the nodes to attack the training dataset to worsen the process and …

Machine learning approaches for EV charging behavior: A review

S Shahriar, AR Al-Ali, AH Osman, S Dhou… - IEEE Access, 2020 - ieeexplore.ieee.org
As the smart city applications are moving from conceptual models to development phase,
smart transportation is one of smart cities applications and it is gaining ground nowadays …

A game-based computation offloading method in vehicular multiaccess edge computing networks

Y Wang, P Lang, D Tian, J Zhou, X Duan… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
Multiaccess edge computing (MEC) is a new paradigm to meet the requirements for low
latency and high reliability of applications in vehicular networking. More computation …

Big data analytics in smart grids: state‐of‐the‐art, challenges, opportunities, and future directions

BP Bhattarai, S Paudyal, Y Luo, M Mohanpurkar… - IET Smart …, 2019 - Wiley Online Library
Big data has potential to unlock novel groundbreaking opportunities in power grid that
enhances a multitude of technical, social, and economic gains. As power grid technologies …

Energy-latency tradeoff for dynamic computation offloading in vehicular fog computing

R Yadav, W Zhang, O Kaiwartya… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Vehicular Fog Computing (VFC) provides solutions to relieves overload cloudlet nodes,
reduces service latency during peak times, and saves energy for battery-powered cloudlet …

A review on VANET research: Perspective of recent emerging technologies

MJN Mahi, S Chaki, S Ahmed, M Biswas… - IEEE …, 2022 - ieeexplore.ieee.org
Recent technology has modeled VANET (vehicular adhoc network) communication well in
terms of privileges to derive vehicular communication technologically to save time, energy …

Blockchain-based mobile edge computing framework for secure therapy applications

MDA Rahman, MS Hossain, G Loukas… - IEEE …, 2018 - ieeexplore.ieee.org
Mobile edge computing (MEC) is being introduced and leveraged in many domains, but few
studies have addressed MEC for secure in-home therapy management. To this end, this …

Smart and resilient EV charging in SDN-enhanced vehicular edge computing networks

J Liu, H Guo, J Xiong, N Kato, J Zhang… - IEEE Journal on …, 2019 - ieeexplore.ieee.org
Smart grid delivers power with two-way flows of electricity and information with the support of
information and communication technologies. Electric vehicles (EVs) with rechargeable …