Data Architecture for Sensor Network

Kód výsledku v 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>

Výsledek na webu

<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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Jazyk výsledku

angličtina

Název v původním jazyce

Data Architecture for Sensor Network

Popis výsledku v původním jazyce

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

Název v anglickém jazyce

Data Architecture for Sensor Network

Popis výsledku anglicky

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

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

DE - Zemský magnetismus, geodesie, geografie

OECD FORD obor

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Projekt

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Návaznosti

R - Projekt Ramcoveho programu EK

Rok uplatnění

2012

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Geoinformatics FCE CTU

ISSN

1802-2669

e-ISSN

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Svazek periodika

7

Číslo periodika v rámci svazku

březen

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

8

Strana od-do

31-39

Kód UT WoS článku

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EID výsledku v databázi Scopus

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