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Over the last few years, several novel applications have shown up where humans are not in the communication loop anymore, instead embedded computers are automatically sensing and influencing the environment. It is anticipated that these application types will become much more dominant over the next couple of years, raising the question which impact this might have on networks. In this course, we deal with these questions with respect to state-of-the-art in the research community. The course intends to teach the students the fundamental requirements and challenges of this novel, upcoming area while also highlighting current research results in various specific fields. For PhD students, the additional emphasis of the course is on the mathematical content of selected papers.
In particular, the course is divided into several different blocks: Traditional automation systems, capillary networking, cellular & wide-area networking, and application scenarios (Internet-of-things, smart grid, vehicular networks). Each block is accompanied by a mandatory assignment for students to be worked on individually as well as in groups.
In addition, special sessions for PhD students will be organized which deal with selected research papers.
The course consists of the following units with the respective contents: