POSition Information with Digital twin Offloading in trustworthy Next-generation Internet Applications
Coach Name
Jordi Bosch i Garcia
EU Organization
University of Cagliari, Italy
Members
- Francesca Marcello
- Marco Martalò
- Giovanni Pettorru
- Virginia Pilloni
US Organization
Saint Louis University, MO, USA
Members
- Flavio Esposito
Project Overview
POSIDONIA addresses green, trustworthy network design in IoT by enabling secure Location-Based Services (LBS) across Fog-Edge-Cloud architectures, with a strong application focus on smart agriculture. It combines GPS-free localization with Digital Twins (DTs) to offer accurate, secure, and context-aware positioning, especially against jamming attacks, integrating threat detection, energy-efficient offloading, and visualization dashboards.
Methods and approaches
IoT Localization Algorithms
resilient to jamming and spoofing
Reliability Index
for LBS under adversarial conditions
Digital Twin Integration
to model context-aware scenarios
Fog–Edge–Cloud Continuum Architecture
for scalability
Open-Source Data & Algorithms
for reproducibility
Real-World PoC
using drones and mobile devices in agricultural setups
Cross-Atlantic R&D
with US partner on offloading and UAV use
Key Achievements
Developed GPS-free localization resilient to jamming (IEEE ICC 2025 paper)
Created reliability index for location trust (IEEE MeditCom 2025 paper)
Designed full system architecture and released public deliverables (D1, D2, booklet)
Open-sourced dataset and scripts via GitHub
Released 2-minute demo video
Presented at 4YFN / MWC 2025 in Barcelona
Conducted 6-month internship at SLU (USA)
Inspired pilot initiative AGROS in precision agriculture
High-impact dissemination on LinkedIn, website, and conferences
Impact & Results
Scientific Impact
Advanced trust and reliability in IoT localization under malicious conditions
Industrial Impact
Ready-to-integrate architecture for LBS in drones, UAVs, and smart farming
Economic Impact
Supports cost-effective, sustainable smart agriculture systems
Social Impact
Promotes privacy, transparency, and human-centric network design
Strategic Impact
Sustained EU–US collaboration with clear post-project exploitation plans
Publications and Open-Source Contributions
- “How Do Jamming Attacks Impact the Performance of RSS-Based Localization Techniques?” – IEEE ICC 2025 (10 June 2025) – Link
- “A Reliability Index for Position Estimation in Trustworthy Location-Based Services” – IEEE MeditCom 2025 (July 2025) – Link
- “Robust RSS-based Localization Approaches Leveraging Multiple Wireless Interfaces” – under review (IEEE Transactions on Wireless Communications)
- Deliverable D1 – System Requirements and KPIs (Dec 2024)
- Deliverable D2 – Architecture and Preliminary Algorithms (Feb 2025)
- Public Booklet (May 2025)
- Open-source dataset + scripts (GitHub)
- Project Website
Future directions
AGROS Pilot
A spin-off initiative focused on agricultural geolocation and resource optimization
Post-project Workshop
To be held in Saint Louis for further exploitation
Smart Agriculture Scaling
Integration with UAVs, Edge/Cloud offloading, and precision farming
Ongoing Collaboration
Continued EU–US research meetings and stakeholder outreach
Open Access Expansion
Making all research outputs publicly available