Master data

Title: Towards Data Aggregation on Multi-Sensor Low Power Wireless Transducer with ISO/IEC/IEEE 21450 Transducer Electronic Datasheets
Subtitle:
Abstract:

Wireless transducer nodes often provide more than one sensor channel. The application specific requirements on these individual channels can be quite different, e.g. in terms of measurement rate and permitted latency. In order to allow for corresponding power consumption optimization for a given application, we propose an extension of the ISO/IEC/IEEE 21450 Transducer Electronic Datasheet. Based on this proposed data aggregation concept, the individual measurement rate and the permitted latency can be adjusted. In addition, potential retransmissions due to losses on the wireless communication channel can be considered. The proposed concept is showcased in an industrial condition monitoring example.

Keywords: data aggregation ,IEC standards ,IEEE standards ,ISO standards ,optimisation ,sensor fusion ,wireless channels ,wireless sensor networks
Publication type: Article in Proceedings (Authorship)
Publication date: 30.06.2020 (Online)
Published by: 2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)
2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)
to publication
 ( IEEE; )
Title of the series: -
Volume number: -
First publication: Yes
Version: -
Page: pp. 1 - 5

Versionen

Keine Version vorhanden
Publication date: 30.06.2020
ISBN (e-book):
  • 978-1-7281-4460-3
eISSN: 2642-2077
DOI: http://dx.doi.org/10.1109/I2MTC43012.2020.9129594
Homepage: https://i2mtc2020.ieee-ims.org/
Open access
  • Available online (not open access)

Assignment

Organisation Address
Fakultät für Technische Wissenschaften
 
Institut für Intelligente Systemtechnologien
Universitätsstraße 65-67
9020 Klagenfurt am Wörthersee
Austria
   hubert.zangl@aau.at
http://www.uni-klu.ac.at/tewi/ict/sst/index.html
To organisation
Universitätsstraße 65-67
AT - 9020  Klagenfurt am Wörthersee

Categorisation

Subject areas
  • 202036 - Sensor systems
Research Cluster No research Research Cluster selected
Peer reviewed
  • Yes
Publication focus
  • Science to Science (Quality indicator: I)
Classification raster of the assigned organisational units:
working groups No working group selected

Cooperations

No partner organisations selected

Articles of the publication

No related publications