A better Internet of Things thanks to Thomas Ameloot

(29-06-2021) In his PhD ‘Techniques for Characterizing and Enhancing the Performance of Long-Range Wireless Sensor Networks’ Thomas Ameloot investigated how wireless communication can be further improved.

As electronic circuits become smaller and more efficient, new opportunities to improve communication technologies are emerging. In recent years, this has allowed us to connect more and more devices to the Internet, creating the Internet of Things (IoT).

A large part of this Internet of Things consists of wireless sensor networks. In these networks, innovative technologies are used to communicate sensor data at very low power levels over very long distances. Well-known examples of these technologies are standards such as SigFox and LoRa.

In this thesis, a number of techniques are presented to characterise the performance of the LoRa modulation technique and, based on the insights gained, to improve it.

This is carried out in three different application environments. First, conventional wireless sensor networks are considered. These are composed of widely distributed nodes with low energy consumption. Next, LoRa modulation is used for wireless communication near the human body. Finally, software defined radio (SDR) technology is used to improve the performance of LoRa receivers and assess the impact of Doppler shifts on LoRa modulation.

“In this thesis, I demonstrate that the performance of LoRa modulation can be improved significantly. As a result, this is also true for the Internet of Things”, concludes Thomas Ameloot.

Contact:  Thomas Ameloot

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Editor: Jeroen Ongenae - Final editing: Ilse Vercruysse - Illustrator: Roger Van Hecke