IoT

Talk held at ICFEC 2024

May 14, 2024

Dr. András Márkus held a talk titled “Synergizing Fuzzy-based Task Offloading with Machine Learning-driven Forecasting for IoT” at the 8th IEEE International Conference on Fog and Edge Computing (ICFEC 2024), held between May 6-9, in Philadelphia, USA.

Page last modified: May 14, 2024

Systematic Literature Review published in IEEE Access

May 10, 2024

The paper titled “Exploring the Synergy of Fog Computing, Blockchain, and Federated Learning for IoT Applications: A Systematic Literature Review”, authored by Wilson Valdez Solis, Dr. Attila Kertész (Department of Software Engineering, University of Szeged), and Juan Marcelo Parra-Ullauri (Smart Internet Lab, University of Bristol) was published in the Q1 journal IEEE Access.

Page last modified: May 10, 2024

IoT, Sensor, Communications seminar - Modelling IoT applications in cloud and fog simulation environments

Dec 9, 2021

A seminar titled “Modelling IoT applications in cloud and fog simulation environments” will be held online on December 15th from 16:00 – 17:00 as part of MILab’s IoT, Sensor, Telecommunications subproject’s online seminar series.

The speaker is Dr. Attila Kertész (Department of Software Engineering).

The lecture’s topic is summarized below:

Page last modified: December 9, 2021

Article published by MDPI

Sept 15, 2021

An article written by Biswajeeban Mishra, Biswaranjan Mishra, and Attila Kertész (Department of Software Engineering), titled “Stress-Testing MQTT Brokers: A Comparative Analysis of Performance Measurements” was recently published by the open-access publisher, MDPI.

Page last modified: September 15, 2021

Paper published in PeerJ

Aug 9, 2021

A paper titled “Actuator behaviour modelling in IoT-Fog-Cloud simulation” by András Márkus, Máté Bíró, Gábor Kecskeméti, and Attila Kertész (Department of Software Engineering) has been published in the prestigious open access journal PeerJ.

Page last modified: August 9, 2021

Best Poster won at Closer 2021

May 05, 2021

András Márkus (Department of Software Engineering) has won the CLOSER 2021 Best Poster Award!

His work, titled "Modelling Energy Consumption of IoT Devices in DISSECT-CF-Fog" introduces their approach to simulating IoT devices with minimal power consumption to reduce carbon footprint and maintenance costs.

Page last modified: May 5, 2021