New Hybrid IoT LoRaWAN/IRC Sensors: SMART Water Metering System
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43210%2F22%3A43920968" target="_blank" >RIV/62156489:43210/22:43920968 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27240/22:10249581
Result on the web
<a href="https://doi.org/10.32604/cmc.2022.021349" target="_blank" >https://doi.org/10.32604/cmc.2022.021349</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.32604/cmc.2022.021349" target="_blank" >10.32604/cmc.2022.021349</a>
Alternative languages
Result language
angličtina
Original language name
New Hybrid IoT LoRaWAN/IRC Sensors: SMART Water Metering System
Original language description
The massive development of internet of things (IoT) technologies is gaining momentum across all areas of their possible deployment-spanning from Industry 4.0 to eHealth, smart city, agriculture or waste management. This ongoing development is further pushed forward by the gradual deployment of 5G networks. With 5G capable smart devices, it will be possible to transfer more data with shorter latency thereby resulting in exciting new use cases such as Massive IoT. Massive-IoT (low-power wide area network-LPWAN) enables improved network coverage, long device operational lifetime and a high density of connections. Despite all the advantages of massive-IoT technology, there are certain cases where the original concept cannot be used. Among them are dangerous explosive environments or issues caused by subsurface deployment (operation during winter months or dense greenery). This article presents the concept of a hybrid solution of IoT LoRaWAN (long range wide area network)/IRC-VLC (infrared communication, visible light communication) technology, which combines advantages of both technologies according to the deployment scenario.
Czech name
—
Czech description
—
Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
20705 - Remote sensing
Result continuities
Project
<a href="/en/project/EF16_019%2F0000867" target="_blank" >EF16_019/0000867: Research Centre of Advanced Mechatronic Systems</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
CMC-Computers, Materials & Continua
ISSN
1546-2218
e-ISSN
1546-2226
Volume of the periodical
71
Issue of the periodical within the volume
3
Country of publishing house
US - UNITED STATES
Number of pages
17
Pages from-to
5201-5217
UT code for WoS article
000770817300050
EID of the result in the Scopus database
2-s2.0-85122735540