Institutional Repository
Technical University of Crete
EN  |  EL

Search

Browse

My Space

An adaptive RFID middleware for supporting metaphysical data independence

Jeffery Shawn R. , Franklin Michael J. , Garofalakis Minos

Simple record


URIhttp://purl.tuc.gr/dl/dias/5EC5139B-2652-40DE-AA1C-2781813978A3-
Identifierhttp://link.springer.com/article/10.1007%2Fs00778-007-0084-8-
Identifierhttps://doi.org/10.1007/s00778-007-0084-8-
Languageen-
Extent25 pagesen
TitleAn adaptive RFID middleware for supporting metaphysical data independenceen
CreatorJeffery Shawn R. en
CreatorFranklin Michael J. en
CreatorGarofalakis Minosen
CreatorΓαροφαλακης Μινωςel
PublisherSpringer Verlagen
Content SummarySensor devices produce data that are unreliable, low-level, and seldom able to be used directly by applications. In this paper, we propose metaphysical data independence (MDI), a layer of independence that shields applications from the challenges that arise when interacting directly with sensor devices. The key philosophy behind MDI is that applications do not deal with any aspect of physical device data, but rather interface with a high-level reconstruction of the physical world created by a sensor infrastructure. As a concrete instantiation of MDI in such a sensor infrastructure, we detail MDI-SMURF, a Radio Frequency Identification (RFID) middleware system that alleviates issues associated with using RFID data through adaptive techniques based on a novel statistical framework.en
Type of ItemPeer-Reviewed Journal Publicationen
Type of ItemΔημοσίευση σε Περιοδικό με Κριτέςel
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2015-10-29-
Date of Publication2008-
SubjectData cleaningen
SubjectRFID technologyen
SubjectStatistical samplingen
SubjectSensor-based applicationsen
Bibliographic CitationS. R. Jeffery, M. J. Franklin and M. Garofalakis, "An adaptive RFID middleware for supporting metaphysical data independence", VLDB J., vol. 17, no. 2, pp. 265-289, Mar. 2008. doi:10.1007/s00778-007-0084-8en

Services

Statistics