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IoT: Wi-Fi Sensing and Diagnostic for Customer Premises Equipment using Transfer Learning and USP

Lin Huang

IoT: Wi-Fi Sensing and Diagnostic for Customer Premises Equipment using Transfer Learning and USP.

Rel. Guido Albertengo. Politecnico di Torino, Corso di laurea magistrale in Ict For Smart Societies (Ict Per La Società Del Futuro), 2024

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Abstract:

The new routers are connected through USP over MQTT and allow geographically near-real-time monitoring. The aim of the thesis is to analyze and build a predictive algorithm based on a model trained using the information collected from the routers. A new controller/agent will be developed for diagnostic elements gathering (software, hardware, telemetry, environment). The new agent can send the information to backend for a distributed computation but also act locally through the BLE, when Internet is not available.

Relators: Guido Albertengo
Academic year: 2023/24
Publication type: Electronic
Number of Pages: 64
Subjects:
Corso di laurea: Corso di laurea magistrale in Ict For Smart Societies (Ict Per La Società Del Futuro)
Classe di laurea: New organization > Master science > LM-27 - TELECOMMUNICATIONS ENGINEERING
Aziende collaboratrici: SANTER Reply S.p.a.
URI: http://webthesis.biblio.polito.it/id/eprint/31809
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