IOT: Devices & Connectivity

In the context of the lecture Internet of Things (IoT), my task was to come up with a practical exercise which could be implemented in the scope of 1-2 classes. We went with a typical MQQT based communication approach, which incooperated an InfluxDB backend, while simulating some high frequency sensors. The task was to implement this all from scratch in Python, which was tought in seperate lecture. This practical course was held in front of about 200 students in winter 2018.

Contents

• Arduino and Raspberry Pi
• Wearables and ubiquitous computing
• Metaheuristics for optimization problems
• Edge/fog/cloud computing and storage,
• Scalable algorithms and approaches
• Spatial data mining,
• Information retrieval and mining
• Blockchain and digital consensus
• Combinatorial optimization in practice
• Predictive maintenance systems
• Smart IoT applications
• Cyber security
• Web of Things