Frederik Lauer

• The constantly expanding Internet of Things (IoT) poses significant challenges for the devices and systems involved. When transporting the enormous amounts of data that are collected every day by IoT devices, the security of the data transmission is a crucial factor, especially in areas like the Industrial IoT. While state-of-the-art security algorithms can achieve a high level of trust, the necessary underlying computations pose a major challenge for small embedded systems with very restricted energy budgets like small sensor nodes. The common approach of optimizing individual computational steps using special cryptographic hardware accelerators, however, still does not fully exploit the available potential in terms of energy efficiency and computation time. Therefore, in addition to the impact of the utilization of hardware accelerators, a holistic analysis approach is presented and evaluated in this thesis. The resulting optimized IoT system demonstrates that even with a small amount of energy, which can be collected, e.g., by an energy harvesting module, a wireless data transmission that meets today’s security requirements can be realized. In addition to the transmission of data, capturing the environment is an essential element of the IoT. New challenging multi-sensor systems are needed to answer many research questions, especially in the emerging field of Educational IoT and the associated digitalization of learning environments. In cooperation with colleagues from didactics research, a learning environment for augmented electrical experiments and a learning platform for the field of photometry were developed. This work focuses on the technical implementation, the required sensor systems, and the evaluation of the learning platforms. The contributions of this work offer a clear added value for the related research projects and future research projects due to their project-oriented implementation. Furthermore, the modular and generic structure of the projects offers elementary adaptability to other domains and systems.