Data Architecture for Sensor Network

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F12%3A43917902" target="_blank" >RIV/49777513:23520/12:43917902 - isvavai.cz</a>
Result on the web
<a href="http://geoinformatics.fsv.cvut.cz/pdf/geoinformatics-fce-ctu-2011-07.pdf" target="_blank" >http://geoinformatics.fsv.cvut.cz/pdf/geoinformatics-fce-ctu-2011-07.pdf</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Data Architecture for Sensor Network
Original language description
Fast development of hardware in recent years leads to the high availability of simple sensing devices at minimal cost. As a consequence, there is many of sensor networks nowadays. These networks can continuously produce a large amount of observed data including the location of measurement. Optimal data architecture for such propose is a challenging issue due to its large scale and spatio-temporal nature. The aim of this paper is to describe data architecture that was used in a particular solution for storage of sensor data. This solution is based on relation data model - concretely PostgreSQL and PostGIS. We will mention out experience from real world projects focused on car moni- toring and project targeted on agriculture sensor networks. We will alsoshortly demonstrate the possibilities of client side API and the potential of other open source libraries that can be used for cartographic visualization (e.g. GeoServer). The main objective is to describe the strength and weakness of us
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
DE - Earth magnetism, geodesy, geography
OECD FORD branch
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Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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