Imagine thousands of tiny sensors acting like a colony of ants, talking to each other to solve problems without needing a central brain. Instead of just sending raw data to a server, these sensors think and make decisions locally to save battery. This allows them to monitor huge areas for years without needing a battery change.
Current low-power wireless sensors are too simple, only sending raw data to servers. This wastes energy and creates bottlenecks, preventing real-time intelligent action at the edge.
An open-source software package called 'OpenSwarm' that enables collaborative AI and energy-aware programming for smart nodes.
If you are a community energy provider dealing with unstable local power grids — this project developed energy-aware smart nodes that optimize power distribution. This allows for more reliable renewable energy communities.
If you are a factory safety manager dealing with hazardous production sites — this project developed a collaborative swarm system that monitors health and safety. It ensures real-time monitoring without expensive wiring.
If you are a railway operator dealing with connectivity gaps on moving trains — this project developed moving networks that maintain communication. This improves data flow across the rail infrastructure.
Based on available project data, no specific pricing or cost structures are mentioned; however, the results are consolidated in an open-source software package.
Yes, the project has verified the technology on two testbeds consisting of 1,000 nodes each.
The project results are implemented in an open-source software package called 'OpenSwarm'.
The project period runs from January 2023 to April 30, 2026.
Based on available project data, it focuses on low-power wireless technology and includes firmware management and RF technology advancements.
The consortium is heavily industry-driven with a 60% industry ratio, comprising 6 industrial partners and 1 SME. This strong commercial presence, combined with 2 universities and 2 research institutes across 7 countries, suggests a high focus on practical application and market viability rather than pure theory.
Contact INRIA (France) for technical specifications on the OpenSwarm software package.
Contact us to find a partner for your low-power AI deployment.
