Connecting household weather sensors to IoT world
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F16%3A86098896" target="_blank" >RIV/61989100:27240/16:86098896 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27740/16:86098896
Result on the web
<a href="http://link.springer.com/content/pdf/10.1007/978-3-319-45378-1_53.pdf" target="_blank" >http://link.springer.com/content/pdf/10.1007/978-3-319-45378-1_53.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-45378-1_53" target="_blank" >10.1007/978-3-319-45378-1_53</a>
Alternative languages
Result language
angličtina
Original language name
Connecting household weather sensors to IoT world
Original language description
As the Internet of Things applications become more widespread, we face the need to replace existing implementations with Internet-enabled sensors. However, these sensors often provide worse battery life, have higher costs per unit and are not backward-compatible with existing weather stations. This paper concentrates on the possibility of decoding the weather station data by a cheap device which would forward them to the Internet of Things frameworks. The basics steps of receiving and decoding of the wireless weather sensor data are discussed together with the common problems which are associated with their capture and processing.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
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
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISBN
978-3-319-45377-4
ISSN
0302-9743
e-ISSN
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Number of pages
14
Pages from-to
603-616
Publisher name
Springer Verlag
Place of publication
CHAM
Event location
Vilnius, Lithuania
Event date
Sep 14, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000388720000053