The resolution at which a sensor network collects data
\nis a crucial parameter of performance since it governs the
\nrange of applications that are feasible to be developed using
\nthat network. A higher resolution, in most situations, enables
\nmore applications and improves the reliability of existing
\nones. In this paper we discuss a system architecture that
\nuses controlled motion to provide virtual high-resolution in a
\nnetwork of cameras. Several orders of magnitude advantage
\nin resolution may be achieved, depending on tolerable tradeoffs.
\nWe discuss several system design choices in the context
\nof our prototype camera network implementation that realizes
\nthe proposed architecture. We also mention how some
\nof our techniques may apply to sensors other than cameras.
\nReal world data is collected using our prototype system and
\nused for the evaluation of our proposed methods.<\/p>\n","protected":false},"excerpt":{"rendered":"
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. 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