NB-IoT Sensor Network for Obtaining the Input Data for Hydrological Simulation Model

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F21%3A43963004" target="_blank" >RIV/49777513:23520/21:43963004 - isvavai.cz</a>

Výsledek na webu

<a href="https://online.agris.cz/archive/2021/01/05" target="_blank" >https://online.agris.cz/archive/2021/01/05</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.7160/aol.2021.130105" target="_blank" >10.7160/aol.2021.130105</a>

Jazyk výsledku

angličtina

Název v původním jazyce

NB-IoT Sensor Network for Obtaining the Input Data for Hydrological Simulation Model

Popis výsledku v původním jazyce

The article describes the choice of appropriate network technology that provides sufficient coverage to allow the sensor network to be placed even in the remote and difficult to reach locations and the data to reach the cloud server. Further it describes the components of the sensor network, the operating principle, architecture and the processing of the data obtained to convert them into the input data used in the hydrological simulation model. The NB-IoT sensor network proposed by the authors would not only collect the data needed to operate hydrological simulation models, but, for example, could provide the data needed to forecast weather conditions, particularly if the architecture of this sensor network, because of its low cost, would be widely applied around the globe, joining a unified global sensor network.

Název v anglickém jazyce

NB-IoT Sensor Network for Obtaining the Input Data for Hydrological Simulation Model

Popis výsledku anglicky

The article describes the choice of appropriate network technology that provides sufficient coverage to allow the sensor network to be placed even in the remote and difficult to reach locations and the data to reach the cloud server. Further it describes the components of the sensor network, the operating principle, architecture and the processing of the data obtained to convert them into the input data used in the hydrological simulation model. The NB-IoT sensor network proposed by the authors would not only collect the data needed to operate hydrological simulation models, but, for example, could provide the data needed to forecast weather conditions, particularly if the architecture of this sensor network, because of its low cost, would be widely applied around the globe, joining a unified global sensor network.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/LO1506" target="_blank" >LO1506: Podpora udržitelnosti centra NTIS - Nové technologie pro informační společnost</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2021

Kód důvěrnosti údajů

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

Název periodika

Agris On-line Papers in Economics and Informatics

ISSN

1804-1930

e-ISSN

—

Svazek periodika

13

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

11

Strana od-do

59-69

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-85104069560