University of Oulu

Design and implementation of an uplink connection for a light-based IoT node

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Author: Chorab, Krystian1
Organizations: 1University of Oulu, Faculty of Information Technology and Electrical Engineering, Communications Engineering
Format: ebook
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 2.3 MB)
Pages: 59
Persistent link: http://urn.fi/URN:NBN:fi:oulu-202108188867
Language: English
Published: Oulu : K. Chorab, 2021
Publish Date: 2021-08-18
Thesis type: Master's thesis (tech)
Tutor: Katz, Marcos
Reviewer: Häkkinen, Juha
Katz, Marcos
Description:

Abstract

In the wake of soaring demand for shrinking radio frequency (RF) spectrum, light-fidelity (LiFi) has been heralded as a solution to accommodate resources for future communication networks. Infrared (IR) and visible light communication (VLC) are meant to be used within LiFi because of numerous advantages. By combining the paradigm of internet of things (IoT) along with LiFi, light-based IoT (LIoT) emerges as a potential enabler of future 6G networks. With tremendous number of interconnected devices, LIoT nodes need to be able to receive and transmit data while being energy autonomous. One of the most promising clean energy sources comes from both natural and artificial light. In addition to providing illumination and energy, light can also be utilized as a robust information carrier. In order to provide bidirectional connectivity to LIoT node, both downlink and uplink have to be taken into consideration. Whereas downlink relies on visible light as a carrier, uplink approach can be engineered freely within specific requirements. With this in mind, this master’s thesis explores possible solutions for providing uplink connectivity. After analysis of possible solutions, the LIoT proof-of-concept was designed, implemented and validated. By incorporating printed solar cell, dedicated energy harvesting unit, power-optimised microcontroller unit (MCU) and light intensity sensor the LIoT node is able to autonomously transmit data using IR.

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Copyright information: © Krystian Chorab, 2021. This publication is copyrighted. You may download, display and print it for your own personal use. Commercial use is prohibited.