Data Management in the Worldwide Sensor Web

Authors:
Magdalena Balazinska;Amol Deshpande;Michael J. Franklin;Phillip B. Gibbons;Jim Gray;Mark Hansen;Michael Liebhold;Suman Nath;Alexander Szalay;Vincent Tao
Affiliations:
University of Washington;University of Maryland;University of California, Berkeley;Intel Research;Microsoft Research;University of California, Los Angeles;Institute for the Future;Microsoft Research;Johns Hopkins University;Microsoft
Venue:
IEEE Pervasive Computing
Year:
2007

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Abstract

Advances in hardware and miniaturization technologies have led to a rapid increase in the number of large-scale sensor networkdeployments around the world, bringing us closer to the vision of a worldwide sensor web. Exploiting the sensor web to its fullpotential, however, raises several hard data management challenges. Addressing these challenges requires a concerted multidisciplinaryeffort encompassing many computer science fields. This article outlines some of the key data management challenges of a worldwide sensorweb. It also presents recent advances in data management research that aim to address these challenges. Hopefully, the scientific,ubiquitous computing, and sensor network communities will adopt some of these solutions for managing their data. The article alsoattempts to bring many of the remaining open issues to the attention of the database community. This article is part of a special issueon Building a Sensor-Rich World.