Multi‐hop similarity‐based‐clustering framework for IoT‐Oriented Software‐Defined wireless sensor networks

A Shafique, M Asad, M Aslam… - IET Wireless Sensor …, 2022 - Wiley Online Library
The performance of Internet of Things (IoT)‐based Wireless Sensor Networks (WSNs)
depends on the routing protocol and the deployment technique in modern applications. In a …

Adapting wireless mesh network configuration from simulation to reality via deep learning based domain adaptation

J Shi, M Sha, X Peng - 18th USENIX Symposium on Networked Systems …, 2021 - usenix.org
Recent years have witnessed the rapid deployments of wireless mesh networks (WMNs) for
industrial automation, military operations, smart energy, etc. Although WMNs work …

Distributed node coordination for real-time energy-constrained control in wireless sensor and actuator networks

L Mo, X Cao, Y Song… - IEEE internet of things …, 2018 - ieeexplore.ieee.org
Wireless sensor and actuator networks (WSANs) are emerging as a new generation of
wireless sensor networks. Due to the coupling between the sensing areas of the sensors …

Fully decentralized multi-agent coordination scheme in smart distribution restoration: Multilevel consensus

M Sadeghi, M Kalantar - Applied Energy, 2023 - Elsevier
Multi-agent systems (MAS) are emerging as a promising approach for smart power system
restoration. After a fault has been detected and isolated, the maximum out-of-service loads …

Energy-efficient over-the-air computation scheme for densely deployed IoT networks

ST Basaran, GK Kurt… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
In this article, we propose a spatial sampling approach to reduce energy consumption for
over-the-air (function) computation (AirComp) scheme by utilizing the cross-correlations …

[HTML][HTML] Design of a SIMO deep learning-based chaos shift keying (DLCSK) communication system

M Mobini, G Kaddoum, M Herceg - Sensors, 2022 - mdpi.com
This paper brings forward a Deep Learning (DL)-based Chaos Shift Keying (DLCSK)
demodulation scheme to promote the capabilities of existing chaos-based wireless …

A survey of big data machine learning applications optimization in cloud data centers and networks

SH Mohamed, TEH El-Gorashi… - arXiv preprint arXiv …, 2019 - arxiv.org
This survey article reviews the challenges associated with deploying and optimizing big data
applications and machine learning algorithms in cloud data centers and networks. The …

Optimal Sleep Scheduling for Energy-Efficient AoI Optimization in Industrial Internet of Things

X Cao, J Wang, Y Cheng, J Jin - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
Keeping sensor data fresh is desired for industrial Internet of Things (IIoT) especially in real-
time monitoring applications. However, this may require sensors always in active mode and …

RETRACTED ARTICLE: Enduring data analytics for reliable data management in handling smart city services

D Kalra, MR Pradhan - Soft Computing, 2021 - Springer
Smart energy management improves the efficiency of the services and computing systems
operated in a smart city environment. The heterogeneous environment makes use of …

[HTML][HTML] Hardware and software solutions for energy-efficient computing in scientific programming

D D'Agostino, I Merelli, M Aldinucci, D Cesini - Scientific Programming, 2021 - hindawi.com
Energy consumption is one of the major issues in today's computer science, and an
increasing number of scientific communities are interested in evaluating the tradeoff …