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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Format: | Article |
Language: | en_US |
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Institute of Electrical and Electronics Engineers (IEEE)
2012
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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. |
first_indexed | 2024-09-23T14:10:35Z |
format | Article |
id | mit-1721.1/72191 |
institution | Massachusetts Institute of Technology |
language | en_US |
last_indexed | 2024-09-23T14:10:35Z |
publishDate | 2012 |
publisher | Institute of Electrical and Electronics Engineers (IEEE) |
record_format | dspace |
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 |
work_keys_str_mv | AT maddensamuelr databaseabstractionsformanagingsensornetworkdata |