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Research at St Andrews

A reference architecture and model for sensor data warehousing

Research output: Contribution to journalArticle

Author(s)

Simon Andrew Dobson, Matteo Golfarelli, Simone Graziani, Stefano Rizzi

School/Research organisations

Abstract

Sensor data is becoming far more available thanks to the growth in both sensor systems and Internet of Things devices. Much of the value of sensor data comes from examining trends that occur over long timescales, ranging from hours to years. However, making use of data a long time after it has been collected has significant implications for the data-handling systems used to manage it. In particular, the data must be contextualised into the environment in which it was collected to avoid misleading (and potentially dangerous) mis-interpretation. We apply data warehousing techniques to develop an extensible model to capture contextual metadata alongside sensor datasets, and show how this can be used to support the analysis of datasets long after collection. We present our baseline reference framework for sensor context and derive multidimensional schemata representing different modelling and analysis scenarios. Finally, we exercise the model with two case studies.
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Details

Original languageEnglish
Pages (from-to)7659-7670
Number of pages12
JournalIEEE Sensors Journal
Volume18
Issue number18
Early online date31 Jul 2018
DOIs
Publication statusPublished - 15 Sep 2018

    Research areas

  • Data warehouse, Multidimensional modelling, Sensor networks, Data analytics

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