Název:	NB-IoT Sensor Network for Obtaining the Input Data for Hydrological Simulation Model
Autoři:	Java, Oskars Sigajevs, Aleksandrs Binde, Juris Kepka, Michal
Citace zdrojového dokumentu:	JAVA, O. SIGAJEVS, A. BINDE, J. KEPKA, M. NB-IoT Sensor Network for Obtaining the Input Data for Hydrological Simulation Model. Agris On-line Papers in Economics and Informatics, 2021, roč. 13, č. 1, s. 59-69. ISSN: 1804-1930
Datum vydání:	2021
Nakladatel:	Faculty of Economics and Management
Typ dokumentu:	článek article
URI:	2-s2.0-85104069560 http://hdl.handle.net/11025/46678
ISSN:	1804-1930
Klíčová slova v dalším jazyce:	Sensor network;internet of things;IoT;sensor data processing;NB-IoT
Abstrakt v dalším 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.
Práva:	© Agris On-line Papers in Economics and Informatics
Vyskytuje se v kolekcích:	Články / Articles (KGM) OBD

Všechny záznamy v DSpace jsou chráněny autorskými právy, všechna práva vyhrazena.