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Data Management in the Worldwide Sensor Web
April-June 2007 (vol. 6 no. 2)
pp. 30-40
Magdalena Balazinska, University of Washington
Amol Deshpande, University of Maryland
Michael J. Franklin, University of California, Berkeley
Phillip B. Gibbons, Intel Research
Jim Gray, Microsoft Research
Mark Hansen, University of California, Los Angeles
Michael Liebhold, Institute for the Future
Suman Nath, Microsoft Research
Alexander Szalay, Johns Hopkins University
Vincent Tao, Microsoft
Advances in hardware and miniaturization technologies have led to a rapid increase in the number of large-scale sensor network deployments around the world, bringing us closer to the vision of a worldwide sensor web. Exploiting the sensor web to its full potential, however, raises several hard data management challenges. Addressing these challenges requires a concerted multidisciplinary effort encompassing many computer science fields. This article outlines some of the key data management challenges of a worldwide sensor web. 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 also attempts to bring many of the remaining open issues to the attention of the database community. This article is part of a special issue on Building a Sensor-Rich World.
Index Terms:
sensor networks, data uncertainty, distributed systems, interoperability, data modeling, data streams
Citation:
Magdalena Balazinska, Amol Deshpande, Michael J. Franklin, Phillip B. Gibbons, Jim Gray, Mark Hansen, Michael Liebhold, Suman Nath, Alexander Szalay, Vincent Tao, "Data Management in the Worldwide Sensor Web," IEEE Pervasive Computing, vol. 6, no. 2, pp. 30-40, April-June 2007, doi:10.1109/MPRV.2007.27
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