BoND1: B6G Non-Cellular Technologies for Enhanced IoT Connectivity

PID2023-148214OB-C21 · MICIU/AEI + FEDER

BoND1: B6G Non-Cellular Technologies for Enhanced IoT Connectivity

Subproject 1 of the coordinated project Beyond 6G Integrated Terrestrial and Non-Terrestrial Networks for Large-Scale Dynamic Scenarios (BoND), with work on non-cellular IoT networks, LoRa/LoRaWAN, LEO constellations, simulation, AI, cybersecurity and sustainability.

Research Lines

The project combines non-cellular IoT networks, LEO constellations, machine learning, advanced simulation and network security to address applied connectivity challenges.

LPWAN and IIoT network design

Deployment optimization, multi-hop topologies, coverage, random access and behavior in industrial and large-scale scenarios.

Simulation, emulation and resilience

Evaluation of routing, transport, security and simulation frameworks for highly dynamic systems with terrestrial and space nodes.

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.

39 entries in the project archive

Related News

Selected news, demonstrations and technology-transfer initiatives connected with BoND1 lines: non-cellular networks, IoT, environmental monitoring, cybersecurity and international collaboration.

Chronological Record

Data, software and open records

Open outputs and institutional records linked to BoND1 and to the group’s current project lines.

Theses · since September 2024

Doctoral theses linked to BoND1

List of theses defended since the project start and supervised or co-supervised by research-team members in related lines.

Software · v0.1.1

OpenMC: packet-level multi-connectivity software

Open-source Linux framework for coding, path monitoring, multipath scheduling and packet reconstruction over real or emulated non-terrestrial networks. Version 0.1.1 supports reproducible experiments with two IPv4 UDP paths. GNU GPL v3.0 only.

Dataset · 2026

TRUST Lab Dataset

CICFlowMeter dataset for IoT/edge intrusion detection with single-class sessions and unambiguous labels.

About Us

The team combines expertise in IoT communications, satellite networks, artificial intelligence, cybersecurity and technology transfer.

Working Team

  • Francisco José Alvarado Alcón
  • Francisco Jesús Sánchez Rubio
  • Laura del Carmen Acosta García
  • Alejandro Fernández Garrido

Team history

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