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Christoph Weyer

Picture of Christoph Weyer
Christoph Weyer
Room 4.091, building E
Schwarzenbergstraße 95
21073 Hamburg
phone+49 40 42878 - 3375
fax+49 40 42878 - 2581
e-mail

Christoph Weyer is currently working on his Ph.D. thesis at Hamburg University of Technology. He received his degree Diplom-Informatiker (FH) in Computer Science from the University of Applied Sciences Wiesbaden in Germany in 1995 and subsequently worked as an independent contractor, especially in the area of management of distributed systems. Since 2003 he holds a position as system administrator at the Institute of Telematics at Hamburg University of Technology and received his Master of Science in Information and Media Technologies in 2006. His research interests are in the area of distributed systems with a current focus on applying self-stabilization in wireless sensor networks.


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Teaching

Projects

Publications

Christian Renner, Sebastian Ernst, Christoph Weyer and Volker Turau. Prediction Accuracy of Link-Quality Estimators. In Proceedings of the 8th European Conference on Wireless Sensor Networks (EWSN'11), February 2011. Bonn, Germany. Acceptance rate 20%.
[BibTeX] [Abstract] [PDF]
@InProceedings{Telematik_REWT_HoPS, author = {Christian Renner and Sebastian Ernst and Christoph Weyer and Volker Turau}, title = {Prediction Accuracy of Link-Quality Estimators}, booktitle = {Proceedings of the 8th European Conference on Wireless Sensor Networks (EWSN'11)}, day = {23-25}, month = feb, year = 2011, location = {Bonn, Germany}, note = {Acceptance rate 20%}, }
Abstract: The accuracy of link-quality estimators (LQE) is mission-critical in many application scenarios in wireless sensor networks (WSN), since the link-quality metric is used for routing decisions or neighborhood formation. Link-quality estimation must offer validity for different timescales. Existing LQEs describe and approximate the current quality in a single value only. This method leads to a limited accuracy and expressiveness about the presumed future behavior of a link. The LQE developed in this paper incorporates four quality metrics that give a holistic assessment of the link and its dynamic behavior; therefore, this research is an important step to achieving a higher prediction accuracy including knowledge about the short- and long-term behavior.
Christoph Weyer, Volker Turau, Andreas Lagemann and Jörg Nolte. Programming Wireless Sensor Networks in a Self-Stabilizing Style. In Proceedings of the Third International Conference on Sensor Technologies and Applications (SENSORCOMM'09), June 2009. Athens, Greece.
[BibTeX] [Abstract] [Slides]
@InProceedings{Telematik_WLT_2009_SelfWISE, author = {Christoph Weyer and Volker Turau and Andreas Lagemann and Jörg Nolte}, title = {Programming Wireless Sensor Networks in a Self-Stabilizing Style}, booktitle = {Proceedings of the Third International Conference on Sensor Technologies and Applications (SENSORCOMM'09)}, day = {18-23}, month = jun, year = 2009, location = {Athens, Greece}, }
Abstract: Wireless Sensor Networks (WSNs) operate in an unstable environment and thus are subject to arbitrary transient faults. Self-stabilization is a promising technique to add tolerance against transient faults in a self-contained non-masking way. A core factor for the applicability of a given self-stabilizing algorithm is its convergence time. This paper analyses the average stabilization time of three algorithms commonly regarded as central building blocks for WSNs. The analysis is accomplished with SelfWISE, a framework providing programming abstractions for selfstabilizing algorithms. The performed analysis considers the target models as well as network size and density. This demonstrates the usability of SelfWISE for evaluating selfstabilizing algorithms under a wide range of models.
Christoph Weyer and Volker Turau. SelfWISE: A Framework for Developing Self-Stabilizing Algorithms. In Proceedings of the 16th ITG/GI - Fachtagung Kommunikation in Verteilten Systemen (KiVS'09), March 2009, pp. 67–78. Kassel, Germany.
[BibTeX] [Abstract] [Slides]
@InProceedings{Telematik_TW_2009_SelfWISE, author = {Christoph Weyer and Volker Turau}, title = {SelfWISE: A Framework for Developing Self-Stabilizing Algorithms}, booktitle = {Proceedings of the 16th ITG/GI - Fachtagung Kommunikation in Verteilten Systemen (KiVS'09)}, pages = {67-78}, day = {2-6}, month = mar, year = 2009, location = {Kassel, Germany}, }
Abstract: This paper introduces SelfWISE, a framework for enabling wireless sensor networks to be programmed in a self-stabilizing manner. The framework eases the formal specification of algorithms by abstracting from low-level details such as wireless channel and hardwarespecific characteristics. SelfWISE consists of a language for expressing self-stabilizing algorithms, a runtime environment for simulating algorithms in wireless sensor networks, and supporting tools. The hereby applied transformation of formally described algorithms into the simulation environment preserves the self-stabilizing properties. Development, evaluation, and debugging of self-stabilizing algorithms is considerably facilitated by utilizing SelfWISE.
Volker Turau and Christoph Weyer. Fault Tolerance in Wireless Sensor Networks through Self-Stabilization. International Journal of Communication Networks and Distributed Systems, 2(1):78–98, 2009.
[BibTeX] [Abstract] [DOI]
@Article{Telematik_TW_2009_SelfStabilization, author = {Volker Turau and Christoph Weyer}, title = {Fault Tolerance in Wireless Sensor Networks through Self-Stabilization}, pages = {78-98}, journal = {International Journal of Communication Networks and Distributed Systems}, volume = {2}, number = {1}, year = 2009, }
Abstract: Wireless sensor networks (WSNs) suffer from resource limitations, high failure rates and faults caused by the lossy nature of wireless communication. This can lead to situations, where nodes lose synchrony and programs reach arbitrary states. Traditional approaches to fault tolerance like fault masking or global resets are not feasible for WSNs. Applying the concepts of self-stabilisation to achieve fault tolerance is a promising concept. However, the majority of self-stabilising algorithms found in the literature is based on models not suitable for WSNs. This paper proposes a problem-independent transformation for algorithms that stabilise under the central daemon scheduler such that they meet the demands of a WSN. Furthermore, a comparison with transformers from the literature is made through a series of simulations. Finally, the proposed transformer is evaluated with a real sensor network in a field test.

The complete list of publications is available separately.

Supervised Theses

Completed Theses