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A reference architecture and model for sensor data warehousing

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Date
15/09/2018
Author
Dobson, Simon Andrew
Golfarelli, Matteo
Graziani, Simone
Rizzi, Stefano
Keywords
Data warehouse
Multidimensional modelling
Sensor networks
Data analytics
QA75 Electronic computers. Computer science
T-NDAS
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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.
Citation
Dobson , S A , Golfarelli , M , Graziani , S & Rizzi , S 2018 , ' A reference architecture and model for sensor data warehousing ' , IEEE Sensors Journal , vol. 18 , no. 18 , pp. 7659-7670 . https://doi.org/10.1109/JSEN.2018.2861327
Publication
IEEE Sensors Journal
Status
Peer reviewed
DOI
https://doi.org/10.1109/JSEN.2018.2861327
ISSN
1530-437X
Type
Journal article
Rights
© 2018, IEEE. This work has been made available online in accordance with the publisher’s policies. This is the author created accepted version manuscript following peer review and as such may differ slightly from the final published version. The final published version of this work is available at https://doi.org/10.1109/JSEN.2018.2861327
Description
Funding: UK EPSRC under grant number EP/N007565/1, “Science of Sensor Systems Software”.
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  • University of St Andrews Research
URI
http://hdl.handle.net/10023/15773

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