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Titre: | IoT Asset tracking based on GPS and LoRa wireless technology |
Auteur(s): | Hamdi, Abdelkhalek Khouas, Abdelhakim (Supervisor) |
Mots-clés: | Internet of Things (IoT) Long Range (LoRa) |
Date de publication: | 2021 |
Résumé: | Asset tracking is the process of collecting location data regarding valuable items within an
organization. The Internet of Things (IoT) stands for connecting physical objects wirelessly,
for the purpose of exchanging data over the internet. IoT asset tracking defines the use of IoT
enabling technologies in order to collect, store, and visualize location data of assets in real-
time, which allows better and more reliable decision making. Technologies such as Wi-Fi and
cellular are widely used to enable IoT wireless connection of physical objects; however, when
dealing with use cases in large industrial environments where assets are spread randomly
indoor and outdoor, the network coverage problem arises. This report proposes an IoT solution
to the asset tracking use case in which Global Positioning System (GPS) is used to acquire
real-time location data and LoRa communication technology is used to allow wireless data
transmission over long ranges. A tracker and a gateway embedded systems were designed and
implemented based on microcontrollers and System-on-Chip (SoC) modules. The tracker was
designed to acquire and send location data wirelessly over long ranges; the gateway on the
other hand receives data then forwards it to a web application for storing and visualization.
Different software drivers were written using C programming language to allow interfacing
the GPS and LoRa modules. By the end of this report, we were able to visualize real-time
locations of a moving vehicle with 1-3 meters accuracy in localizing the asset, and a wireless
signal reach of 293 meters. Our solution is used to track outdoor moving assets within
industrial environments. |
Description: | 53p. |
URI/URL: | http://dlibrary.univ-boumerdes.dz:8080/handle/123456789/11819 |
Collection(s) : | Computer
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