Sensor Networking Research laboratory

Activity of the research laboratory

In the Sensor Networking Research laboratory theoretical research is performed in the areas of distributed measurement technologies, localization, synchronization, and energy efficient operation. Applied research utilizes theoretical results in actual projects.

Research results

Localization using sensor networks

  • New localization algorithms were developed using a large number of distance measurements, where the measurements may have modest accuracy. The proposed near optimal estimation method tolerates the presence of large number of outliers in the measurement results (e.g. due to reflections) thus provides high accuracy positioning in real circumstances.

  • New radiointerferometric localization method were developed. The method, instead of using time of flight measurements, utilizes phase measurements to track a simple radio transceiver, requiring much simpler hardware solutions.

  • New indoor localization methods were developed using VLC (Visible Light Communication). The proposed solution is able to determine the position of a camera with centimeter accuracy, using LED lamps communicating with VLC.

Application centered synchronization in sensor networks

  • The application of general synchronization methods may be troublesome in special applications, especially in systems with low energy consumption. For such cases special synchronization methods were developed with very little overhead.

  • The properties if the developed algorithms were theoretically analyzed, thus their performance and convergence properties can be guaranteed in real applications.

Distributed measurement systems

  • Sensor networks provides the possibility of massively distributed measurements. The physical properties of sensor networks (low measurement accuracy, low computational capacity, low communication bandwidth), however, necessitate the development of application specific measurement methods, using various sensory units:

    • acoustic sensors (detection, tracking, classification)

    • vibration sensors (detection, speed estimation)

    • magnetic sensors (detection, classification)

    • cameras (VLC based localization)

Energy efficient operation of sensor networks

  • In real applications in industry or agriculture the lifetime of the network is often critical, especially when power supplies are limited (e.g. using batteries). Thus low duty cycle operation, where the majority of time is spent in low-energy sleeping mode, is essential in such networks. In the Laboratory middleware services allowing extreme low (<0.1%) duty cycle operation were developed for real applications

  • For industrial and agricultural applications low energy systems were developed.

Head of the Laboratory

Szenzorhalozatok SGy portreGyula Simon received his MSc and PhD (Summa Cum Laude) degrees from Budapest University of Technology and Economics (BME), in 1991 and 1998, respectively. He worked in the Department of Measurement and Information Systems, BME and the Institute for Software Integrated Systems, Vanderbilt University. Since 2005 he is with Department of Computer Science and Systems Technology, Pannon University.

the project is supported
hungarys renewal
szechenyi plan
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