Enhancing communication capabilities of Internet-of-Things (IoT) networks

Over the past two decades, the number of network-connected devices has grown at an unprecedented pace, far
surpassing the world’s population. The most significant increase has been seen in Internet-of-Things (loT) devices,
which are predominantly connected through wireless technologies. This project aims at advancing the abilities
and autonomy of wireless loT networks by using machine learning and energy harvesting. The research is closely
aligned with developments in the wireless communication industry. The project outcomes will support product
development at the partner organization and contribute directly to global standardization efforts.

Faculty Supervisor:

Lutz Lampe

Student:

Partner:

Semtech

Discipline:

Engineering

Sector:

Technology; Information and Communications Technology; Artificial Intelligence

University:

The University of British Columbia

Program: