Fraunhofer Center for Assistive Information and Communication Solutions – AICOSDescription:
Currently, the Internet of Things (IoT) is driving a new technological revolution that uses constrained wirelessly connected embedded devices to sense and actuate in many use-cases of our daily lives. Fraunhofer Portugal has a IoT solution composed by hardware, firmware and software named Kallisto that is focused on reducing the development cycle and provide a mature building block for IoT application. Kallisto already supports several power and sensing technologies, but is currently lacking a solar-powered and GPS enabled solution.
In this context, the student will design a solar power solution for a scenario where the Kallisto is being used in a crowd sensing scenario where a set of ambient and GPS sensors will be collecting data. The student will have to search for a low power GPS module suitable to be integrated in Kallisto, develop its driver and integrate it on the main firmware application that will be collecting ambient data and saving in an SDCard.
To power the solution, the student will estimate the power consumption of the crowd sensing solution and propose a suitable solar power solution that meets the studied power requirements and pre-defined life expectancy.
Outcome:
- Study of a solar power solution for Kallisto (targeting Opertator use case)
- Integration of a standalone GPS solution in Kallisto
Author: Sara Carvalho
Type: MSc thesis
Partner: FEUP – Faculdade de Engenharia da Universidade do Porto
Year: 2022