Elena Filipescu
Experimental implementation of a LoRa sensor network and robustness analysis of simulated TX-RX LoRa signals using LabVIEW.
Rel. Daniele Trinchero. Politecnico di Torino, Corso di laurea magistrale in Ict For Smart Societies (Ict Per La Società Del Futuro), 2020
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Abstract
The Internet of Things (IoT) is the network of physical objects that contain embedded technology to communicate and sense or interact with their internal states or the external environment. Low-Power Wide-Area Networks (LPWAN) represent a set of long-range communication technologies suitable for supporting IoT applications, which need multi-year battery lifetime and usually send small amount of data over long distances a few times per hour. LoRa is the first low cost implementation of Chirp Spread Spectrum (CSS) modulation for commercial usage suitable for meeting IoT requirements, such as long range of communication, low power consumption, low data rate, low cost, high level of robustness to interference.
Two are the main objectives of this thesis: the former concerns an experimental implementation of a LoRa sensor network installed inside the building of ENSIL (École National Supérieure d’Ingénieurs de Limoges), at the University of Limoges in France; the latter consists in the robustness evaluation of a transmitter-receiver LoRa signal, simulated with the help of LabVIEW
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