- Tytuł:
- Open extensive IoT research and measurement infrastructure for remote collection and automatic analysis of environmental data
- Autorzy:
-
Wiszniewski, Ł.
Klimowicz, D. - Powiązania:
- https://bibliotekanauki.pl/articles/1940556.pdf
- Data publikacji:
- 2017
- Wydawca:
- Politechnika Gdańska
- Tematy:
-
Internet of Things
LoRaWAN
data gathering
data visualization
unmanned air vehicles
LPWAN Network
Long Range Data Transmission
internet rzeczy
gromadzenie danych
wizualizacja danych
bezzałogowe pojazdy powietrzne
sieć LPWAN
transmisja danych dalekiego zasięgu - Opis:
- Internet of Things devices that send small amounts of data do not need high bit rates as it is the range that is more crucial for them. The use of popular, unlicensed 2.4 GHz and 5 GHz bands is fairly legally enforced (transmission power above power limits cannot be increased). In addition, waves of this length are very difficult to propagate under field conditions ( e.g. in urban areas). The market response to these needs are the LPWAN (Low Power WAN) type networks, whose main features are far-reaching wireless coverage and low power measurement end-nodes that can be battery powered for months. One of the promising LPWAN technologies is the LoRa WAN, which uses a publicly available 868 MHz band (in Europe) and has a range of up to 20 km. This article presents how the LoRa WAN network works and describes the installation of the research and measurement infrastructure in this technology which was built in the Gdańsk area using the Academic Computer Center TASK network infrastructure. The methodology and results of the qualitative and performance studies of the constructed network with the use of unmanned aircraft equipped with measuring devices for remote collection of environmental data are also presented. The LoRaWAN TASK has been designed to support the development of other research projects as an access infrastructure for a variety of devices. Registered users can attach their own devices that send specific metrics that are then collected in a cloud-based database, analyzed and visualized.
- Źródło:
-
TASK Quarterly. Scientific Bulletin of Academic Computer Centre in Gdansk; 2017, 21, 4; 355-363
1428-6394 - Pojawia się w:
- TASK Quarterly. Scientific Bulletin of Academic Computer Centre in Gdansk
- Dostawca treści:
- Biblioteka Nauki
Artykuł