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|a Madden, Samuel R.
|e author
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|a Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
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|a Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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|a Madden, Samuel R.
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|a Madden, Samuel R.
|e contributor
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|a Database abstractions for managing sensor network data
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|b Institute of Electrical and Electronics Engineers (IEEE),
|c 2012-08-17T17:53:54Z.
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|z Get fulltext
|u http://hdl.handle.net/1721.1/72191
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|a Sensor networking hardware, networking, and operating system software has matured to the point that the major challenges facing the field now have to do with storing, cleaning, and querying the data such networks produce. In this paper, we survey several research systems designed for managing sensor data using declarative database-like abstractions from the database community and specifically the Massachusetts Institute of Technology (MIT, Cambridge) database group. The systems we discuss are designed to help prioritize data collection in the face of intermittent bandwidth, clean and smooth data using statistical models stored inside the database, and run declarative queries over probabilistic data.
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|a Article
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|t Proceedings of the IEEE
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