BoND1: non-cellular B6G IoT connectivity focused on scalability, simulation and sustainability
Research project on non-cellular technologies for IoT connectivity, with work on LoRa/LoRaWAN networks, simulation, sustainability, artificial intelligence and infrastructure robustness.
Research Lines
The project combines non-cellular IoT networks, LEO constellations, machine learning, advanced simulation and network security to address applied connectivity challenges.
Non-cellular IoT
LPWAN and IIoT network design
Deployment optimization, multi-hop topologies, coverage, random access and behavior in industrial and large-scale scenarios.
LEO satellites
Simulation, emulation and resilience
Evaluation of routing, transport, security and simulation frameworks for highly dynamic systems with terrestrial and space nodes.
AI and sustainability
Intelligent optimization and applied analytics
Machine learning methods to reduce environmental impact, estimate occupancy, improve operational scalability and reinforce infrastructure robustness.
Project Publications
Selected publications linked to project PID2023-148214OB-C21.
25 entries in the project archive
15 May 2026 · Computer Networks
Emulating large LEO satellite networks with eBPF
5 May 2026 · Frontiers in Computer Science
TRUSTLab dataset: a real-world CICFlowMeter dataset for IoT/edge intrusion detection
18 Mar 2026 · Discover Computing
Laptop-scale benchmark of BlockSim, Simewu, and IOTA hornet for network practitioners
17 Mar 2026 · Ad Hoc Networks
A hybrid inference pipeline for IDS: Combining DNNs and XGBoost through stacking for real-world intrusion detection
- 21 Feb 2026CADD: Collaborative adaptive duty cycle and data reduction for congestion control in LoRaWANInternet of Things
- 1 Feb 2026Enhancing the hypatia simulator for LEO satellite networks with integrated DoS and DDoS attack capabilitiesInternational Journal of Information Security
- 31 Jan 2026Performance of MPTCP over emulated LEO satellite networks with ECMP routingAd Hoc Networks
- 1 Jan 2026FAST-LoRa: An Efficient Simulation Framework for Evaluating LoRaWAN Networks and Transmission Parameter StrategiesIEEE Access
- 25 Dec 2025Design and fabrication of an acoustic leaky-wave antenna for underwater applicationsForum Acusticum / EuroNoise 2025
- 19 Nov 2025A Machine Learning Approach for Estimating Person Counts Using Anonymous WiFi Data in a University LibrarySensors
- 17 Sep 2025Trust the Source: A latency-based machine learning approach to accurate IP geolocation in internetComputer Networks
- 27 Aug 2025Carbon footprint optimization of a LoRa-based multi-hop Industrial Internet of Things network deploymentComputers in Industry
- 5 Aug 2025Local pulse wave velocity assessment by flow-guided nanosensor networks for early diagnosing and localization of atherosclerosisIEEE Sensors Journal
- 25 Jul 2025Seamless remote roaming activation in LoRaWAN via an API-driven gateway bridge serviceJournal of Network and Computer Applications
- 16 Jun 2025A Comprehensive Review of ns-3-Based Simulation Frameworks for LEO Satellite Constellations: Capabilities and LimitationsSoftware: Practice and Experience
- 7 May 2025Lightweight Blockchain for Data Integrity and Traceability in IoT NetworksIEEE Access
- 9 Apr 2025Minimizing the Carbon Footprint in LoRa-Based IoT Networks: A Machine Learning Perspective on Gateway PositioningIEEE Open Journal of the Computer Society
- 1 Apr 2025Random Access Control in NB-IoT With Model-Based Reinforcement LearningIEEE Internet of Things Journal
- 22 Mar 2025Compliant and Seamless Hybrid (Star and Mesh) Network Topology Coexistence for LoRaWAN: A Proof of ConceptApplied Sciences
- 21 Mar 2025ADRL: A reconfigurable energy-efficient transmission policy for mobile LoRa devices based on reinforcement learningInternet of Things
- 10 Jan 2025Parametric Study and Experimental Validation of Acoustic Leaky Wave Antenna in Spatial LocalizationIEEE Access
- 7 Jan 2025A Novel Proprietary Internet Video Traffic Dataset Generation AlgorithmApplied Sciences
- 2 Jan 2025Understanding displacement of onboard contingents in Navy amphibious shipsPLoS ONE
- 25 Oct 2024Signal Processing to Characterize and Evaluate Nonlinear Acoustic Signals Applied to Underwater CommunicationsElectronics
- 18 Sep 2024Artificial Intelligence of Behavior for Human Emotion Recognition in Closed EnvironmentsIEEE Open Journal of the Computer Society
About Us
The team combines expertise in IoT communications, satellite networks, artificial intelligence, cybersecurity and technology transfer.
Research Team
- Rafael Asorey Cacheda (Principal investigator)
- Juan Pedro Muñoz Gea (Co-principal investigator)
- Joan García Haro
- Antonio Javier García Sánchez
- María Dolores Cano Baños
- Juan José Alcaraz Espín
- José María Malgosa Sanahuja
- Pilar Manzanares López
- Alejandro Santos Martínez Sala
- Fernando Losilla López
- Juan Carlos Jacobo Aarnoutse Sánchez
- Laura García García
Working Team
- Francisco José Alvarado Alcón