A reference architecture and model for sensor data warehousing

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

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

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.
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 Sept 2018

Keywords

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

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