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Distributed inference condition monitoring system for rural infrastructure in the developing world

Abstract:

Remote condition monitoring systems for rural infrastructure lack “intelligent” analysis and advanced insights offered by recent IoT devices. This is because the extreme and inaccessible operating locations necessitate the conservative use of limited resources, such as battery life and data transmission. Present implementations are often limited to usage data loggers, which are informative of general usage but post-processed advanced insights lag real-time system changes. A lightweight novelt...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Publisher's version

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Publisher copy:
10.1109/jsen.2018.2882866

Authors


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Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
Oxford college:
Balliol College
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
More by this author
Institution:
University of Oxford
Division:
Social Sciences Division
Department:
SOGE
More by this author
Institution:
University of Oxford
Division:
Social Sciences Division
Department:
SOGE
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
Publisher:
IEEE Publisher's website
Journal:
IEEE Sensors Journal Journal website
Volume:
19
Issue:
5
Pages:
1820-1828
Publication date:
2018-11-22
Acceptance date:
2018-11-07
DOI:
EISSN:
1558-1748
ISSN:
1530-437X
Pubs id:
pubs:948811
URN:
uri:03eefad0-b1ae-415e-839b-c9b587ae69b6
UUID:
uuid:03eefad0-b1ae-415e-839b-c9b587ae69b6
Local pid:
pubs:948811

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