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Contenuto archiviato il 2024-05-29

Collaborative signal processing for efficient wireless sensor networks

Obiettivo

There has been great interest recently towards the development of Wireless Sensor Networks, whose goal is to monitor the physical world by means of densely distributed wireless nodes. It is envisioned that it will soon be feasible to deploy massive amounts of inexpensive devices to observe large ground surfaces, underwater regions, and areas in the atmosphere. These devices will be able to provide unprecedented opportunities for instrumenting and controlling the environment, our cities, both our microcosm and macrocosm.

Networked microsensors is a key technology in various disciplines such as:
- environmental monitoring, including wildlife habitat sensing and preservation, climate observation and prediction, seismic activity monitoring and impact;
- industrial sensing, including factory and appliances management,
- infrastructure integrity, comprising power grid and public construction control and command, and
- education, art, and entertainment, enabling exciting virtual and immersive digital spaces.

Realisation of large distributed sensor systems requires major advances in the theory and understanding of distributed data processing in highly uncertain environments with power, computation, and communication constraints. Hence, the fundamental scientific reason for conducting research in this field is to address problems including: adaptive collaborative processing in highly uncertain environments, consistent fusion algorithms for networked sensors, and representation and transmission of information in large and uncertain networks.

Our goal is to address these challenges drawing on obtained experience in array and statistical non-Gaussian signal processing, adaptive systems, multiresolution signal and image denoising, compression, classification, communication theory, and immersive multimedia. The major objective of this project is to make contributions to the foundations of what is truly a new discipline.

Argomento(i)

Invito a presentare proposte

FP6-2004-MOBILITY-3
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Meccanismo di finanziamento

TOK - Marie Curie actions-Transfer of Knowledge

Coordinatore

FOUNDATION FOR RESEARCH AND TECHNOLOGY - HELLAS
Contributo UE
Nessun dato
Costo totale
Nessun dato

Partecipanti (2)