Stand: 31.01.16 (20:51)


  • I received the "Dissertationspreis der Universität Passau" (University of Passau's dissertation award) on 14 November 2014. (appraisal (PDF, German))
  • I received my PhD (Dr. rer. nat.) certificate on 18 March 2014.
  • The thesis is published online since 17 February 2014.
  • I successfully defended my thesis on 6 February 2014.
  • I submitted my thesis on 8 August 2013.




  1. Reviewer and Supervisor:
    Prof. Dr. Hermann de Meer
    University of Passau, Germany
  2. Reviewer:
    Prof. Dr. Ian F. Akyildiz
    Georgia Institute of Technology, Atlanta, GA, USA




This thesis investigates the suitability of state-of-the-art protocols for large-scale and long-term environmental event monitoring using wireless sensor networks based on the application scenario of early forest fire detection. By suitable combination of energy-efficient protocol mechanisms, a novel communication protocol, referred to as cross-layer message-merging protocol (XLMMP), is developed. Qualitative and quantitative protocol analyses are carried out to confirm that XLMMP is particularly suitable for this application area. The quantitative analysis is mainly based on finite-source retrial queues with multiple unreliable servers. While this queueing model is widely applicable in various research areas even beyond communication networks, this thesis is the first to determine the distribution of the response time in this model. The model evaluation is mainly carried out using Markovian analysis and the method of phases. The obtained quantitative results show that XLMMP is a feasible basis to design scalable wireless sensor networks that (1) may comprise hundreds of thousands of tiny sensor nodes with reduced node complexity, (2) are suitable to monitor an area of tens of square kilometers, (3) achieve a lifetime of several years. The deduced quantifiable relationships between key network parameters—e.g., node size, node density, size of the monitored area, aspired lifetime, and the maximum end-to-end communication delay—enable application-specific optimization of the protocol.



Defense Slide Set

Feel free to download the slides set of my defense (6 February 2014):

[Slides Download (PDF, 5.4MB)]




Tools and Models

The following software tools are used in the thesis.

  • MASON (version 15 used in the thesis)
    The multi-agent simulation toolkit MASON is a discrete-event simulation library for the Java programming language. In my thesis, I use it to simulate and visualize the random deployment of sensor nodes in a two-dimensional area, the coverage and connectivity achieved by the sensor nodes and sinks, and the formation of hop-count rings using sink messages (SMSGs).
  • MOSEL-2
  • SPNP

Please check back later for more information on the tools and models.