CORDIS Project
Funding breakdown and partner intelligence are Premium
Sign in and upgrade to Premium for EU contribution totals, consortium analytics, OpenAlex research context, and AI summaries. · 0 consortium intelligence fields visible of 1
Start free • Cancel anytime • 14-day refund guarantee
The project focuses on optimizing energy consumption in Internet of Things (IoT) systems used for monitoring in smart cities. By developing algorithms to reduce redundant data sampling and determining optimal inference locations, it aims to minimize the carbon footprint associated with data processing.
Today, Internet of Things (IoT) sensors are being extensively used for monitoring processes/phenomena in smart cities.
The data samples generated by these IoT sensors are wirelessly transmitted to servers at the network edge where compute-intensive Machine Learning (ML) models, specifically Deep Neural Networks (DNNs), are used for providing inference.
However, a large percentage of data samples are redundant because they do not (significantly) improve inference.
This leads to an excessive and u…
FUNDACION IMDEA NETWORKS
Partner organizations (coordinator is shown above), with normalized type and CORDIS activity type. Guests see up to 4 partners.
Similar projects, consortium collaboration history, frequent partners, and OpenAlex research context.
Guests see up to 5 EuroSciVoc fields.
Guests see up to 5 topics.
Guests see up to 5 keywords.
