NFC data acquisition platform design and development to collect data from IoT sensor node
Nadeem, Muhammad (2023)
Nadeem, Muhammad
2023
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2023110928927
https://urn.fi/URN:NBN:fi:amk-2023110928927
Tiivistelmä
The use of Near Field Communication (NFC) technology has a growing trend in its application for wireless transactions, including activities such as money transfers, loyalty coupons, ticketing, and secure data transfers within limited proximity. In recent years, smartphone manufacturers have included NFC modules in their mobile devices. There is a rising trend toward incorporating it into wearable medical devices to facilitate power and data transmission wirelessly over short distances. This thesis assesses the implementation of NFC communication to gather data from IoT sensor nodes and organize it for further processing. An Arduino-based hardware platform using NFC technology is designed and developed by employing commercially available off-the-shelf modules and components.
The Arduino-based microcontroller board is configured with an NFC controller to receive data from the IoT sensor node. The data acquisition hardware platform's functionality is validated with a custom antenna design for enhanced reading range. The environmental data from the IoT sensor nodes is collected, organized, and stored in the local memory as text files. The study also discusses the potential use of the acquisition platform for various internet-of-things (IoT) applications. The project work is conducted inside the laboratories and workshops of the electrical engineering department at Aalto University under the supervision of Prof. Kari Halonen's research group.
The Arduino-based microcontroller board is configured with an NFC controller to receive data from the IoT sensor node. The data acquisition hardware platform's functionality is validated with a custom antenna design for enhanced reading range. The environmental data from the IoT sensor nodes is collected, organized, and stored in the local memory as text files. The study also discusses the potential use of the acquisition platform for various internet-of-things (IoT) applications. The project work is conducted inside the laboratories and workshops of the electrical engineering department at Aalto University under the supervision of Prof. Kari Halonen's research group.