Collaborative Adaptive Sensing of the
Atmosphere
Dr. Jim Kurose
Department of Computer Science
Center for Collaborative Adaptive Sensing of the Atmosphere (CASA)
University of Massachusetts at Amherst
Date:
Time:
Location: 367 Votey
Abstract
There is a wide range of sensor
networks, ranging from small, power-constrained embedded sensing networks
(used, e.g., for monitoring structural response or contaminant transport in the
environment) to large, high-bandwidth, powered remote sensing networks (e.g.,
meteorological radar networks, and video sensing networks). Despite their
obvious differences, these sensor networks also have many similarities and
share a number of common technical challenges. In this talk, we consider
the class of large, high-bandwidth, powered remote sensing networks, and
identify networking, storage, and computing research challenges posed by such
systems. We also consider the similarities and differences between these
systems and their small, power-constrained embedded sensing counterparts.
We illustrate these issues drawing on our experiences in designing and
implementing a dense network of meteorological radars whose goals is to
collaboratively and adaptively sense the lowest few kilometers of the earth’s
atmosphere. This testbed system is one the efforts
being undertaken in the Center for Collaborative Adaptive Sensing of the
Atmosphere, a recently award
(Hosted by Computer Science Student Association)