Model-Driven Data Acquisition in Sensor Networks. VLDB 2004 BEST PAPER.
Amol Deshpande (UC Berkeley), Carlos Guestrin (Intel Research Berkeley),
Samuel Madden (MIT and Intel Research Berkeley), Joseph Hellerstein (UC
Berkeley and Intel Research Berkeley), Wei Hong (Intel Research Berkeley)

Abstract
Declarative queries are proving to be an attractive paradigm for interacting
with networks of wireless sensors. The metaphor that "the sensor net is a
database" is problematic, however, because sensors do not exhaustively
represent the data in the real world. In order to map the raw sensor
readings onto physical reality, a "model" of that reality is required to
complement the readings. In this paper, we enrich interactive sensor
querying with statistical modeling techniques. We demonstrate that such
models can help provide answers that are both more meaningful