Development of an IoT architecture based on a deep neural network against cyber attacks for automated guided vehicles

M Elsisi, MQ Tran - Sensors, 2021 - mdpi.com
This paper introduces an integrated IoT architecture to handle the problem of cyber attacks
based on a developed deep neural network (DNN) with a rectified linear unit in order to …

Design of reliable IoT systems with deep learning to support resilient demand side management in smart grids against adversarial attacks

M Elsisi, CL Su, MN Ali - IEEE Transactions on Industry …, 2023 - ieeexplore.ieee.org
Demand side management (DSM) has become one of the major concerns of the smart grids
to cope with the penetration of renewable energy. The availability of new communication …

Deterministic dynamic networks (DDN)

N Benzaoui, MS Gonzalez, JM Estarán… - Journal of Lightwave …, 2019 - ieeexplore.ieee.org
Today's network infrastructure evolves into two seemingly opposite directions: cloudification
centralizes functions that used to be distributed for economies of scale, at the expense of …

5G Xhaul and service convergence: transmission, switching and automation enabling technologies

P Iovanna, F Cavaliere, S Stracca, L Giorgi… - Journal of Lightwave …, 2020 - opg.optica.org
The article provides a review of the Xhaul network in terms of architecture, transmission,
switching, and service provisioning automation, with the objective to illustrate the state of the …

Time sensitive networking for 5G NR fronthauls and massive IoT traffic

N Shibata, P Zhu, K Nishimura, Y Yoshida… - Journal of Lightwave …, 2021 - opg.optica.org
Integration of public fifth generation mobile network (5G) backhaul and non-public networks
is key for the private/local 5G network ecosystem. However, such shared networks, namely …

First demonstration of autonomous TSN-based beyond-best-effort networking for 5G NR fronthauls and 1,000+ massive IoT traffic

N Shibata, P Zhu, K Nishimura… - 2020 European …, 2020 - ieeexplore.ieee.org
We propose and demonstrate a beyond-5G x-haul platform with autonomous time aware
shaper and adaptive mobile fronthaul compression, which simultaneously accommodates …

A scalable factory backbone for multiple independent time-sensitive networks

W Lautenschlaeger, F Frick… - Journal of Systems …, 2021 - Elsevier
Convergence of time-sensitive machine control networks as part of the operational
technology (OT) with the ubiquitous information technology (IT) networks is an essential …

Real-time control for deterministic and dynamic networks

M Szczerban, JM Estarán, N Benzaoui… - 45th European …, 2019 - ieeexplore.ieee.org
We propose a dynamic control system for deterministic networks and demonstrate complete
network reconfiguration in less than 20μs through a few km long network while guaranteeing …

Diagnosis of Power Components Amid the 4th Industrial Revolution

M Elsisi, MQ Tran, M Amer, VQ Vu… - Power Systems Amid …, 2024 - taylorfrancis.com
Power components are among the most expensive parts in the power and industrial sectors
worldwide. Nevertheless, fault diagnosis and remote control still face a lot of challenges in …

Real-time node local control for ultra-dynamic and deterministic all-optical intra data center networks

M Szczerban, J Estarán, N Benzaoui… - 2020 Optical Fiber …, 2020 - ieeexplore.ieee.org
Real-Time Node Local Control for Ultra-Dynamic and Deterministic All-Optical Intra Data Center
Networks Page 1 T3K.4.pdf OFC 2020 © OSA 2020 Real-Time Node Local Control for …