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.
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 infrastructure.
"We are looking at fundamentally new approaches to the collection,
communication and processing of sensor information," stated Prof. Flynn. "We
have a unique team with expertise in analog and RF circuits, wireless
systems, networking, and infrastructure monitoring. It promises to be an
exciting and fruitful project with important ramifications for ensuring the
safety of our nation's infrastructure."
Posted: September 1, 2009 by
EECS/ECE Communications Coordinator
firstname.lastname@example.org or 734-936-2965
Related Topics: Flynn, Michael Infrastructure Integrated Circuits and VLSI Liu, Mingyan Stark, Wayne Wentzloff, David Wireless Communications