Database abstractions for managing sensor network data

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...

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Main Author: Madden, Samuel R.
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:en_US
Published: Institute of Electrical and Electronics Engineers (IEEE) 2012
Online Access:http://hdl.handle.net/1721.1/72191
https://orcid.org/0000-0002-7470-3265
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author Madden, Samuel R.
author2 Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
author_facet Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Madden, Samuel R.
author_sort Madden, Samuel R.
collection MIT
description 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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spelling mit-1721.1/721912022-10-01T19:36:16Z Database abstractions for managing sensor network data Madden, Samuel R. Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Madden, Samuel R. Madden, Samuel R. 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. 2012-08-17T17:53:54Z 2012-08-17T17:53:54Z 2010-07 2010-06 Article http://purl.org/eprint/type/JournalArticle 0018-9219 http://hdl.handle.net/1721.1/72191 Madden, Samuel. “Database Abstractions for Managing Sensor Network Data.” Proceedings of the IEEE 98.11 (2010): 1879–1886. https://orcid.org/0000-0002-7470-3265 en_US http://dx.doi.org/10.1109/JPROC.2010.2063691 Proceedings of the IEEE Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf Institute of Electrical and Electronics Engineers (IEEE) IEEE
spellingShingle Madden, Samuel R.
Database abstractions for managing sensor network data
title Database abstractions for managing sensor network data
title_full Database abstractions for managing sensor network data
title_fullStr Database abstractions for managing sensor network data
title_full_unstemmed Database abstractions for managing sensor network data
title_short Database abstractions for managing sensor network data
title_sort database abstractions for managing sensor network data
url http://hdl.handle.net/1721.1/72191
https://orcid.org/0000-0002-7470-3265
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