Project description
New sensing technologies for smart cities
In modern industries and urban landscapes, the demand for efficient sensing systems is growing. However, existing methods face a critical challenge: they lack the ability to determine the fundamental limits and trade-offs of these systems. In this context, the ERC-funded FLOSS project explores the information-theoretic boundaries of classical and quantum distributed sensing systems. By providing benchmarks for practical designs and offering engineering guidelines, FLOSS aims to transform industries reliant on sensing technologies. With applications ranging from environmental monitoring to autonomous vehicles, it addresses a gap in techniques capable of managing the complexities of modern distributed systems, including multiple decision centres and objectives.
Objective
This project derives information-theoretic fundamental limits and tradeoffs of classical and quantum distributed sensing (detection and estimation) systems, which are key in the Industry 4.0 smart cities, environmental applications, autonomous vehicles, etc. Our limits will: 1) serve as benchmarks for practical designs; 2) characterize the inherent tradeoffs; and 3) provide engineering guidelines. So far, a technique is missing that can derive the limits of modern distributed sensing systems with multiple decision centers, multiple objectives, and interactive and sequential behaviours. For the emerging field of quantum sensing even the limits of simple distributed systems have not been derived. With our recent converse proof technique (which already served to establish limits of detection, channel coding, and compression problems) we have a powerful tool for obtaining the desired strong or probability-of-error dependent converse proofs.
Programme(s)
- HORIZON.1.1 - European Research Council (ERC) Main Programme
Funding Scheme
HORIZON-ERC - HORIZON ERC GrantsHost institution
91120 Palaiseau
France