Pregled bibliografske jedinice broj: 1178897
Low-Power Wireless IoT System for Indoor Environment Real-Time Monitoring and Alerting
Low-Power Wireless IoT System for Indoor Environment Real-Time Monitoring and Alerting // Proceedings of the International Convention MIPRO
Opatija, Hrvatska: Institute of Electrical and Electronics Engineers (IEEE), 2021. str. 1654-1658 doi:10.23919/MIPRO52101.2021.9596916 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
Low-Power Wireless IoT System for Indoor
Environment
Real-Time Monitoring and Alerting
Autori
Fonović, Dalibor ; Sirotić, Zlatko ; Tanković, Nikola ; Sovilj, Siniša ;
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the International Convention MIPRO
/ - : Institute of Electrical and Electronics Engineers (IEEE), 2021, 1654-1658
ISBN
978-953-233-101-1
Skup
44th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO 2021)
Mjesto i datum
Opatija, Hrvatska, 27.09.2021. - 01.10.2021
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Internet of Things , LoRaWan , remote monitoring , real-time monitoring , indoor environment , alerting system
Sažetak
As the Internet of Things (IoT) continues to evolve, IoT device sensors today have reduced in size and cost and are now easily available. Modern IoT device sensors are also able to give accurate remote real-time data measurement. Some of IoT technologies are optimized for low power use, making them ideal for IoT and sensor applications with requirements on low system energy usage. Example is a wireless sensor node that is required to do its job for an extended period (in some cases, years) while powered by a battery. Connecting the device to a IoT cloud network can create a system for collecting and storing data measurements. The collected data could then be used for more complex application scenarios like data visualization, alerting and machine learning tasks. This paper demonstrates an open source based real-time indoor environment monitoring system for collecting, storing and visualization of data with a simple alert notification system. The results show that proposed low-cost, low- power, open-source based systems can provide high reliability while ensuring low energy consumption.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Računarstvo
POVEZANOST RADA
Ustanove:
Sveučilište Jurja Dobrile u Puli