Alexander Brummer

Alexander Brummer, M. Sc.

Department of Computer Science
Chair of Computer Science 7 (Computer Networks and Communication Systems)

Room: Room 06.132
Martensstr. 3
91058 Erlangen

Short Biography

Alexander Brummer is a research assistant and part of the “Connected Mobility” group at the chair of Computer Networks and Communication Systems.
After finishing school in 2011 he studied Information and Communication Technology at the Friedrich-Alexander University Erlangen-Nürnberg. Subsequent to his Bachelor degree (B.Sc., with distinction) in October 2014 he continued with the consecutive Master’s program with focus on “Embedded Systems”. In the course of his Master’s studies he spent a semester abroad at the University of Victoria in Canada. Moreover, he worked several times as working student in the area of software engineering at Siemens AG.
In the course of his research project and Master Thesis he dealt with the simulation of Car2X networks using the Veins framework developed at the chair. After obtaining the Master degree (M.Sc., with distinction) in August 2017 he decided to continue research in this area as a Ph.D. student.

More Information









  • Modeling and Simulation of Three-Dimensional Vehicular Ad Hoc Networks

    (Own Funds)

    Term: 2017-10-01 - 2022-09-30
    The possibilities and challenges of vehicle-to-everything communication (V2X communication) have been being researched for several years already. A popular means allowing for sufficient flexibility in the investigations whilst maintaining a relatively high level of detail is the simulation of such networks, which must take both the traffic as well as communication aspects into account. The simulation framework Veins developed at the chair has already proven to be a successful tool.
    A limitation of current V2X simulation frameworks is the assumption of a quasi-two-dimensional environment. The various influences of terrain shape, other road participants or communication across multiple road levels usually remain unconsidered. However, due to the mentioned aspects, many real-world traffic scenarios and thus vehicular networks exhibit a three-dimensional character, which is why it must be assumed that they can be analyzed only limitedly with current simulators.
    In this project, we seek to investigate whether the above-mentioned assumption holds true. For this purpose, conventional packet-based V2X simulation has to be extended accordingly in order to be able to simulate such scenarios at large scale. This also requires the implementation of new channel models that can realistically depict the three-dimensional character of complex scenarios with limited computational effort. To ensure correct results the new simulation models should be validated with the help of appropriate field tests. Furthermore, the computational effort of complex simulation scenarios is to be reduced by means of suitable techniques and possibly AI methods.


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