A LoRaWAN Tracking System for IoT
Antonio Eva
A LoRaWAN Tracking System for IoT.
Rel. Claudio Ettore Casetti. Politecnico di Torino, Corso di laurea magistrale in Mechatronic Engineering (Ingegneria Meccatronica), 2022
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Abstract
This thesis project was realised at Alten Italia R&D department in Bologna, with the intent of implementing an IoT asset-tracking system addressing the underlying principles of Industry 4.0. In global manufacturing and commerce, raw materials, components, and final goods can travel long distances, through warehouses and logistic hubs before arriving at their destination. The deployment of a fleet of programmable IoT devices able to track and store data of many unit loads provides a company valuable information for planning and optimization. This project studies the implementation steps around an IoT device capable to determine and send real-time position and condition of Unit Loads along the supply chain.
LoRaWAN¿ was chosen as communication network since it is considered one of the best low-power wide-area (LPWA) networks to wirelessly connect devices to the internet and perfectly meets IoT requirements such as bi-directional communication, end-to-end security, and localization services
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