Welcome to the Center for Compressive Sensing
New theory and techniques for processing information received from
wireless sensor networks are being investigated for the ultimate
purpose of monitoring the nation's infrastructure, including bridges,
buildings and related construction. Named, "Sensing Sensors:
Compressed Sampling with Co-design of Hardware and Algorithms across
Multiple Layers in Wireless Sensor Networks," this new five
year, $3M multi-disciplinary research program funded by the National
Science Foundation includes a diverse team of faculty in the areas
of circuits (Prof.
Michael Flynn, Principle Investigator, and Prof.David
Wentzloff), systems (Profs.
Mingyan Liu and Wayne
Stark), mathematics (Prof.
Anna Gilbert) and civil and environmental engineering (Prof.
The research program is aimed towards development of a revolutionary
wireless sensor node, optimized for infrastructure monitoring, and
characterized by ultra-low power consumption. Energy efficiency
and battery lifetime will be improved through the use of compressed
sampling in sensing, physical communication and network communication,
and through the co-design of hardware and algorithms. Compressive
sampling is an emerging theory which permits radically new sensing
devices that simultaneously acquire and compress certain signals
using very efficient randomized sensing protocols.
In addition to power consumption, the program will address installation
complexity and installation costs, which are significant bottlenecks
to the widespread deployment of wireless monitoring of our nation's