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About

About

Helder Fontes received the MSc degree in 2010 and Ph.D. degree in 2019, both in Informatics Engineering at the Faculty of Engineering of the University of Porto, Portugal. He is the coordinator of the Wireless Networks (WiN) area at INESC TEC and since 2009 he has participated in multiple national and EU research projects, including SITMe, HiperWireless, FP7 SUNNY, H2020 ResponDrone, DECARBONIZE, FLY.PT and Fed4FIRE+ SIMBED, SIMBED+ and SMART open call projects. He has been advisor of 10+ MSc theses on wireless networking simulation, emulation, and experimentation. His research interests include wireless networking simulation, emulation, and experimentation in the scope of emerging scenarios such as airborne and maritime, with special focus on repeatability and reproducibility of experiments using digital twins of wireless testbeds.

Interest
Topics
Details

Details

  • Name

    Hélder Martins Fontes
  • Role

    Area Manager
  • Since

    15th September 2009
019
Publications

2025

Short-Range Energy-Aware Optical Wireless Communications Module for Ns-3

Authors
Ribeiro, T; Silva, S; Loureiro, JP; Almeida, EN; Almeida, NT; Fontes, H;

Publication
Joint European Conference on Networks and Communications & 6G Summit, EuCNC/6G Summit 2025, Poznan, Poland, June 3-6, 2025

Abstract
Optical Wireless Communications (OWC) has recently emerged as a viable alternative to radio-frequency technology, especially for the Internet of Things (IoT) domain. However, current simulation tools primarily focus on physical layer modelling, ignoring network-level issues and energy-constrained environments. This paper presents an energy-aware OWC module for ns-3 that addresses these limitations. The module includes specific PHY and MAC layers and integrates an energy model, a mobility model, and models of monochromatic transceivers and photodetectors, supporting both visible light and infrared (IR) communications. Verification against MATLAB simulations confirms the accuracy of our implementation. Additionally, mobility tests demonstrate that an energy-restricted end device transmitting via IR can maintain a stable connection with a gateway at distances up to 2.5 m, provided the SNR is above 10 dB. These results confirm the capabilities of our module and its potential to facilitate the development of energy-efficient OWC-based IoT systems. © 2025 IEEE.

2025

An Energy-Aware RIoT System: Analysis, Modeling and Prediction in the SUPERIOT Framework

Authors
Bocus, MJ; Hakkinen, J; Fontes, H; Drzewiecki, M; Qiu, S; Eder, K; Piechocki, RJ;

Publication
CoRR

Abstract

2025

Joint Channel Bandwidth Assignment and Relay Positioning for Predictive Flying Networks

Authors
Queirós, R; Kaneko, M; Fontes, H; Campos, R;

Publication
CoRR

Abstract

2025

Context-aware Rate Adaptation for Predictive Flying Networks using Contextual Bandits

Authors
Queirós, R; Kaneko, M; Fontes, H; Campos, R;

Publication
CoRR

Abstract

2024

Towards truly sustainable IoT systems: the SUPERIOT project

Authors
Katz, M; Paso, T; Mikhaylov, K; Pessoa, L; Fontes, H; Hakola, L; Leppaeniemi, J; Carlos, E; Dolmans, G; Rufo, J; Drzewiecki, M; Sallouha, H; Napier, B; Branquinho, A; Eder, K;

Publication
JOURNAL OF PHYSICS-PHOTONICS

Abstract
This paper provides an overview of the SUPERIOT project, an EU SNS JU (Smart Networks and Services Joint Undertaking) initiative focused on developing truly sustainable IoT systems. The SUPERIOT concept is based on a unique holistic approach to sustainability, proactively developing sustainable solutions considering the design, implementation, usage and disposal/reuse stages. The concept exploits radio and optical technologies to provide dual-mode wireless connectivity and dual-mode energy harvesting as well as dual-mode IoT node positioning. The implementation of the IoT nodes or devices will maximize the use of sustainable printed electronics technologies, including printed components, conductive inks and substrates. The paper describes the SUPERIOT concept, covering the key technical approaches to be used, promising scenarios and applications, project goals and demonstrators which will be developed to the proof-of-concept stage. In addition, the paper briefly discusses some important visions on how this technology may be further developed in the future.

Supervised
thesis

2023

Robotic System for Reproducible UAV-like Networking Experimentation in Anechoic Chambers

Author
Miguel Augusto Marombal Araújo

Institution

2023

Smart Aerial Networks using Machine Learning for Cross-Layer Optimization

Author
Rúben Miguel Rei Queirós

Institution

2023

Reinforcement Learning-Based Positioning Algorithm for Relay Nodes in Aerial Networks

Author
Gabriella Fernandes Pantaleão

Institution

2023

A Machine Learning-aided Wireless Network Digital Twin using Multimodal Input Data

Author
Ricardo Jorge Espirito Santo Trancoso

Institution

2023

Reinforcement Learning-Based Positioning Algorithm for Relay Nodes in Aerial Networks

Author
Gabriella Fernandes Pantaleão

Institution