This is a list with proposals. For further details and projects please contact me directly. My latest flyer covers may also be interesting.

• Bluetooth Device Discovery using Netowrk Computers and PDAs

  In the context of the SensorDataLab project we establish a localization scenario. In this scenario the position of a person on a floor of the Zilverling building has to be determined with a high precision. Therefore several sensor networks are deployed on the floor detecting people actively (people carrying devices with them) and passively (people are detected based on images). The Bluetooth sensor network consists of 23 stationary Bluetooth Access Points, which record the proximity of Bluetooth devices (Smartphones and PDAs) carried by people. The Bluetooth Access Points are based on network computers running an embedded linux kernel supporting bluetooth and LAN access. The access point records the IDs of the detected devices and reports them to a data base.

  The aim of this thesis is to design and implement the software of the sensor network and investigate optimization possibilities like for example:

  1. To improve the data quality the required time to detect a Bluetooth device has to be minimal.
  2. To enable the combination/correlation of the different access point readings the synchronization of the time signal requires high precision.

• Sensor Data Acquisition using a commercial indoor positioning system

  In the context of the SensorDataLab project we establish a localization scenario. In this scenario the position of a person on a floor of the Zilverling building has to be determined with a high precision. Therefore several sensor networks are deployed on the floor detecting people. To enable the evaluation of the precision of the deployed sensor networks a high precision sensor network is installed.

  The commercial high precision localization system has to be integrated with a sensor acquisition software. The aim of this project is to get familiar with the acquisition system as well as with the commercial Ubisense system. Further, existing interfaces have to be used to transfer data from one system into the other system.

  The systems are both operational in the Zilverling thus testing can be done with an immediate feedback.

• Meta data management using a semantic annotated Wiki

  Essential for the reuse of sensor data is the documentation of the meta data. Thus, which column in the database has which particular meaning and how has the information in that table been created. This semantic information is essential for the interpretation of the data and is also known under the term data provenance.

  The semantic annotation are intended to generate views on the meta data. Two obvious views are related to time and space, like for example displaying all available sensor data measurements in a calendar or on a map. In the course of this project a specific view should be developed. This captures the design of the required meta data, the acquisition support, as well as the generation of the view.

• Data fusion of localization data

  Using localization sensor data measurements the position of a person in a certain area can be determined. However, the precision of sensor measurements varies dependent on the actual situation. Like for example a person may block the sensing of another person positioned in its "schadow".

  The topic of data fusion is aiming to combine sensor measurements from different sensors or different times to compensate these effects and to cleanse the data resulting in higher data quality. The aim of this project is to investigate different data fusion techniques within a localization experiment.