Project description
Achieving a major breakthrough for smart nodes that work together as swarms
Saving energy is important in striking a balance between high-quality wireless communication and low-power consumption. This makes low-power wireless technology more in demand. The EU-funded OpenSwarm project aims to take the technology further by developing collaborative and distributed smart nodes. To do so, it will explore efficient networking and management of smart nodes, collaborative energy-aware AI and energy-aware swarm programming. The energy-aware, collaborative swarms will be demonstrated in labs equipped with two 1 000-node test beds. They will then be validated in five real-world use cases in application domains such as industrial, health, environmental and mobility.
Objective
Low-power wireless technology tends to be used today for simple monitoring applications, in which raw sensor data is reported periodically to a server for analysis.
The ambition of the OpenSwarm project is to trigger the next revolution in these data-driven systems by developing true collaborative and distributed smart nodes, through groundbreaking R&I in three technological pillars: efficient networking and management of smart nodes, collaborative energy-aware Artificial Intelligence (AI), and energy-aware swarm programming.
Results are implemented in an open software package called “OpenSwarm”, which is verified in our labs on two 1,000 node testbeds. OpenSwarm is then validated in five real-world proof-of-concept use cases, covering four application domains: Renewable Energy Community (Cities & Community), Supporting Human Workers in Harvesting (Environmental), Ocean Noise Pollution Monitoring (Environmental), Health and Safety in Industrial Production Sites (Industrial/Health), Moving Networks in Trains (Mobility).
A comprehensive dissemination, exploitation, and communication plan (including a diverse range of activities related to standardization, educational and outreach, open science, and startup formations) amplifies the expected impacts of OpenSwarm, achieving a step change enabling novel, future energy-aware swarms of collaborative smart nodes with wide range benefits for the environment, industries, and society.
Fields of science
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- natural sciencescomputer and information sciencessoftware
- social sciencespolitical sciencespolitical transitionsrevolutions
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
- natural sciencesearth and related environmental sciencesenvironmental sciencespollution
Programme(s)
Topic(s)
Funding Scheme
HORIZON-RIA - HORIZON Research and Innovation ActionsCoordinator
78153 Le Chesnay Cedex
France