The Industrial Internet of Things (IoT) has rapidly grown in recent years, leading to the adoption of Low Power Wide Area Networks (LPWAN) in important infrastructures such as energy, water and gas distribution systems. LPWAN technologies, which operate in the unlicensed radio frequency spectrum, offer a promising solution for implementing Advanced Metering Infrastructures (AMI). This thesis focuses on a key challenge in deploying AMI LPWAN, which is strategically placing and installing gateway devices to ensure optimal coverage for smart meters. By addressing this challenge, the research aims to optimize LPWANs for the efficient implementation of AMI in large-scale critical infrastructures.
The Industrial Internet of Things (IoT) has rapidly grown in recent years, leading to the adoption of Low Power Wide Area Networks (LPWAN) in important infrastructures such as energy, water and gas distribution systems. LPWAN technologies, which operate in the unlicensed radio frequency spectrum, offer a promising solution for implementing Advanced Metering Infrastructures (AMI). This thesis focuses on a key challenge in deploying AMI LPWAN, which is strategically placing and installing gateway devices to ensure optimal coverage for smart meters. By addressing this challenge, the research aims to optimize LPWANs for the efficient implementation of AMI in large-scale critical infrastructures.
Empirical verification of network coverage plans for LoRaWAN IoT infrastructures
TONIC, NATALIJA
2022/2023
Abstract
The Industrial Internet of Things (IoT) has rapidly grown in recent years, leading to the adoption of Low Power Wide Area Networks (LPWAN) in important infrastructures such as energy, water and gas distribution systems. LPWAN technologies, which operate in the unlicensed radio frequency spectrum, offer a promising solution for implementing Advanced Metering Infrastructures (AMI). This thesis focuses on a key challenge in deploying AMI LPWAN, which is strategically placing and installing gateway devices to ensure optimal coverage for smart meters. By addressing this challenge, the research aims to optimize LPWANs for the efficient implementation of AMI in large-scale critical infrastructures.File | Dimensione | Formato | |
---|---|---|---|
Tonic_Natalija.pdf
accesso aperto
Dimensione
13.39 MB
Formato
Adobe PDF
|
13.39 MB | Adobe PDF | Visualizza/Apri |
The text of this website © Università degli studi di Padova. Full Text are published under a non-exclusive license. Metadata are under a CC0 License
https://hdl.handle.net/20.500.12608/60584