A new adaptive sampling method for energy-efficient measurement of environmental parameters
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F16%3A39901927" target="_blank" >RIV/00216275:25530/16:39901927 - isvavai.cz</a>
Result on the web
<a href="http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7555688" target="_blank" >http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7555688</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
A new adaptive sampling method for energy-efficient measurement of environmental parameters
Original language description
A new method involving adaptive sampling of environmental parameters at sensor nodes has been proposed and developed. The method involves determination of stochastic models of the environmental parameters so that forward and backward predictions could be performed accurately with minimal energy. When difference between measured values and corresponding model-predicted values falls outside predefined threshold interval, measured values are upheld and used to update the model by computing for new model parameters while keeping stochastic order of the model constant. The proposed method has been applied and validated using environmental field data. Favorable results were obtained. The method was also used to determine, with sufficient accuracy, numerical values of missed measurements during a low frequency sampling.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BB - Applied statistics, operational research
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC) : proceedings
ISBN
978-1-5090-2320-2
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
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Publisher name
IEEE (Institute of Electrical and Electronics Engineers)
Place of publication
New York
Event location
Florencie
Event date
Jun 7, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000387085800259