Virtual high-resolution for sensor networks

The resolution at which a sensor network collects data
is a crucial parameter of performance since it governs the
range of applications that are feasible to be developed using
that network. A higher resolution, in most situations, enables
more applications and improves the reliability of existing
ones. In this paper we discuss a system architecture that
uses controlled motion to provide virtual high-resolution in a
network of cameras. Several orders of magnitude advantage
in resolution may be achieved, depending on tolerable tradeoffs.
We discuss several system design choices in the context
of our prototype camera network implementation that realizes
the proposed architecture. We also mention how some
of our techniques may apply to sensors other than cameras.
Real world data is collected using our prototype system and
used for the evaluation of our proposed methods.