Bruno Quoitin

Professor

University of Mons

Belgium

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About

Bruno Quoitin is a Professor at the University of Mons in Belgium. His research interests include visible light communication, deep learning applications in radio frequency identification, and security in IoT networks. He has contributed significantly to the fields of wireless communication and positioning systems through his recent publications.

Articles (7)

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2022

Year:

2022

Year:

2020

Collaborators (2)

Georgios Z. PAPADOPOULOS

Associate Professor

IMT Atlantique

FRANCE

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youcef imine

Associate professor

Université Polytechnique Hauts-de-France

FRANCE

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Bruno Quoitin

Research Interests

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Articles (7)

Detecting malicious proxy nodes during IoT network joining phase

Enhancing Visible Light Communication Channel Estimation in Complex 3D Environments: An Open-Source Ray Tracing Simulation Framework

A Comprehensive Survey on Deep Learning-Based LoRa Radio Frequency Fingerprinting Identification

Leveraging Larger AES Keys in LoRaWAN: A Practical Evaluation of Energy and Time Costs

Scheduling UWB Ranging and Backbone Communications in a Pure Wireless Indoor Positioning System

Thorough Performance Evaluation & Analysis of the 6TiSCH Minimal Scheduling Function (MSF)

Toward accurate clock drift modeling in Wireless Sensor Networks simulation

Collaborators (2)

Georgios Z. PAPADOPOULOS

youcef imine

Make your next move.

Bruno Quoitin

Research Interests

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Contact this professor

About

Articles (7)

Detecting malicious proxy nodes during IoT network joining phase

Enhancing Visible Light Communication Channel Estimation in Complex 3D Environments: An Open-Source Ray Tracing Simulation Framework

A Comprehensive Survey on Deep Learning-Based LoRa Radio Frequency Fingerprinting Identification

Leveraging Larger AES Keys in LoRaWAN: A Practical Evaluation of Energy and Time Costs

Scheduling UWB Ranging and Backbone Communications in a Pure Wireless Indoor Positioning System

Thorough Performance Evaluation &amp; Analysis of the 6TiSCH Minimal Scheduling Function (MSF)

Toward accurate clock drift modeling in Wireless Sensor Networks simulation

Collaborators (2)

Georgios Z. PAPADOPOULOS

youcef imine

Make your next move.

Thorough Performance Evaluation & Analysis of the 6TiSCH Minimal Scheduling Function (MSF)