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DFG project: A modular framework for modeling mobility behavior in wireless networks considering varying granularity of data (2016-2019).

An essential issue in the stochastic modeling of computer networks is the adequate and realistic modeling of the loads that occur. With the increasing spread of mobile devices, the performance evaluation of wireless networks plays an increasingly important role. For a realistic modeling of the loads, it is necessary to represent the mobility behavior of the users appropriately.

When generating these mobility patterns, one can basically distinguish between approaches that generate the patterns completely artificially and approaches that take real data as a basis for generation. The generation of mobility models based on real data is significantly more complex, but the generated motion patterns prove to be more realistic than artificially generated ones. However, one difficulty in creating these mobility models arises from the granularity of the available data. For example, data automatically recorded at the access points of a WLAN do not contain precise information about movement patterns, but only allow users to be assigned to the respective access points. In contrast, data sets have been obtained from smaller user groups in the past that allow a more precise determination of the respective whereabouts. Depending on the granularity of the data and also on the goal of the analysis of the model, different approaches to modeling mobility behavior have been developed in the past, but these approaches cannot be easily transferred to other study scenarios.

Therefore, the aim of this project is to develop a modular framework that takes into account the varying granularity of the data and different analysis goals. The mobility models to be developed should represent the movement patterns at different levels of abstraction and be modularly extensible in order to be able to increase the level of detail of the model in a simple way. In this way, the framework to be developed provides a basis with which the effects of different levels of modeling abstraction on performance measures can be easily compared.

CONTACT: Jan Kriege

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Location & approach

The campus of the Technical University of Dortmund is located near the Dortmund West motorway junction, where the Sauerland line A45 intersects with the Ruhrschnellweg B1/A40. The Dortmund-Eichlinghofen exit on the A45 leads to the south campus, the Dortmund-Dorstfeld exit on the A40 to the north campus. The university is signposted at both exits.

The S-Bahn station "Dortmund Universität" is located directly on the north campus. From there, the S-Bahn line S1 runs every 15 or 30 minutes to Dortmund main station and in the opposite direction to Düsseldorf main station via Bochum, Essen and Duisburg. The university can also be reached by bus lines 445, 447 and 462. Timetable information can be found on the website of the Rhein-Ruhr transport association, and DSW21 also offers an interactive network map.

One of the landmarks of the TU Dortmund is the H-Bahn. Line 1 runs every 10 minutes between Dortmund Eichlinghofen and the Technology Center via Campus South and Dortmund University S, line 2 runs every 5 minutes between Campus North and Campus South. She covers this distance in two minutes.

From Dortmund Airport you can take the AirportExpress to Dortmund Central Station in around 20 minutes and from there you can take the S-Bahn to the university. Düsseldorf Airport, which is about 60 kilometers away, offers a larger range of international flight connections and can be reached directly by S-Bahn from the university train station.