TY - GEN A1 - Lohs, Stefan A1 - Karnapke, Reinhardt A1 - Nolte, Jörg A1 - Lagemann, Andreas T1 - Self-stabilizing Sensor Networks for Emergency Management T2 - Second Workshop on Pervasive Networks for Emergency Management, Lugano, Switzerland, March 2012 KW - Wireless Sensor Networks KW - Fault Tolerance KW - Selfstabilization Y1 - 2012 SN - 978-1-4673-0905-9 SN - 978-1-4673-0906-6 SP - 721 EP - 726 PB - IEEE CY - Piscataway, NJ ER - TY - CHAP A1 - Lohs, Stefan A1 - Nolte, Jörg A1 - Siegemund, Gerry A1 - Turau, Volker T1 - Mission Statement: ToleranceZone : A Self-Stabilizing Middleware for Wireless Sensor Netzworks T2 - Technical Report SEEMOO-TR-2012-03, 11. Fachgespräch Sensornetze der GI/ITG Fachgruppe Kommunikation und Verteilte Systeme, 13.-14. September 2012, Technische Universität Darmstadt Y1 - 2012 UR - http://www.seemoo.tu-darmstadt.de/dl/seemoo/seemoo-tr-2012-03.pdf SP - 33 EP - 35 PB - Technische Universität CY - Darmstadt ER - TY - GEN A1 - Siegemund, Gerry A1 - Turau, Volker A1 - Weyer, Christoph A1 - Lohs, Stefan A1 - Nolte, Jörg T1 - An Agile and Stable Neighborhood Protocol for WSNs T2 - Stabilization, Safety, and Security of Distributed Systems, 15th International Symposium, SSS 2013, Osaka, Japan, November 13-16, 2013 KW - WSN, Self-Stabilization, Neighborhood Y1 - 2013 SN - 978-3-319-03089-0 U6 - https://doi.org/10.1007/978-3-319-03089-0_35 SP - 376 EP - 378 PB - Springer CY - Cham ER - TY - GEN A1 - Lohs, Stefan A1 - Karnapke, Reinhardt A1 - Nolte, Jörg T1 - ToleranceZone - A Self-Stabilizing Middleware for Wireless Sensor Networks Y1 - 2013 UR - http://ewsn13.intec.ugent.be/content/posters N1 - EWSN 2013, 10th European Conference on Wireless Sensor Networks, Ghent, February 13-15, 2013 ER - TY - GEN A1 - Karnapke, Reinhardt A1 - Lohs, Stefan A1 - Nolte, Jörg ED - Kanjo, Eiman ED - Trossen, Dirk T1 - How to ruin Sensor Network Performance using Duplicate Suppression T2 - Sensor Systems and Software, 5th International Conference, S-CUBE 2014, Coventry, UK, October 6-7, 2014, Revised Selected Papers Y1 - 2015 SN - 978-3-319-17135-7 SN - 978-3-319-17136-4 SP - 20 EP - 29 PB - Springer CY - Cham ER - TY - GEN A1 - Beyer, Sandra A1 - Lohs, Stefan A1 - Nolte, Jörg A1 - Karnapke, Reinhardt A1 - Siegemund, Gerry T1 - Self-Stabilizing Structures for Data Gathering in Wireless Sensor Networks T2 - SENSORCOMM 2015, The Ninth International Conference on Sensor Technologies and Applications, August 23-28, 2015 Venice, Italy Y1 - 2015 SN - 978-1-61208-425-1 SP - 71 EP - 76 PB - IARIA ER - TY - GEN A1 - Lohs, Stefan A1 - Siegemund, Gerry A1 - Nolte, Jörg A1 - Turau, Volker T1 - Self-Stabilization - A Mechanism to Make Networked Embedded Systems More Reliable? T2 - 35th Symposium on Reliable Distributed Systems (SRDS), Budapest, Hungary, September 26-29, 2016 N2 - The erratic behavior of wireless channels is still a major hurdle in the implementation of robust applications in wireless networks. In the past it has been argued that self-stabilization is a remedy to provide the needed robustness. This assumption has not been verified to the extent necessary to convince engineers implementing such applications. A major reason is that the time in which a self-stabilizing system returns to a valid state is unpredictable and potentially unbound. Failure rates typically depend on physical phenomena and in self-stabilizing systems each node tries to react to failures in an inherently adaptive fashion by the cyclic observation of its neighbors' states. When the frequency of state changes is too high, the system may never reach a state sufficiently stable for a specific task. In this paper we substantiate the conditions under which self-stabilization leads to fault tolerance in wireless networks and look at the myths about the power of self-stabilization as a particular instance of self-organization. We investigate the influences of the error rate and the neighbor state exchange rate on the stability and the convergence time on topology information acquired in real network experiments. KW - Fault tolerant systems KW - Wireless sensor networks KW - self-stabilization Y1 - 2016 SN - 978-1-5090-3513-7 U6 - https://doi.org/10.1109/SRDS.2016.049 SP - 317 EP - 326 PB - IEEE CY - Piscataway, NJ ER - TY - CHAP A1 - Beyer, Sandra A1 - Lohs, Stefan A1 - Karnapke, Reinhardt A1 - Nolte, Jörg T1 - Self-Stabilizing Aggregation- and Reduction-Structures for Wireless Sensor Networks T2 - 13. GI/ITG Fachgespräch Sensornetze, 25. und 26. September 2014 an der Universität Potsdam Y1 - 2014 SP - 13 EP - 16 PB - Universität CY - Potsdam ER - TY - CHAP A1 - Siegemund, Gerry A1 - Turau, Volker A1 - Lohs, Stefan A1 - Nolte, Jörg T1 - Directed Link Utilization with Mahalle+ T2 - 12. GI-ITG Fachgespräch Sensornetze Y1 - 2013 SP - 29 EP - 32 PB - Brandenburg University of Technology CY - Cottbus ER - TY - GEN A1 - Lohs, Stefan A1 - Siegemund, Gerry A1 - Nolte, Jörg A1 - Turau, Volker T1 - Influence of Topology-Fluctuations on Self-Stabilizing Algorithms T2 - International Conference on Distributed Computing in Sensor Systems (DCOSS) N2 - Self-stabilizing systems have in theory the unique and provable ability, to always return to a valid system state even in the face of failures. These properties are certainly desirable for domains like wireless ad-hoc networks with numerous unpredictable faults. Unfortunately, the time in which the system returns to a valid state is not predictable and potentially unbound. The failure rate typically depends on physical phenomena and in self-stabilizing systems each node tries to react to failures in an inherently adaptive fashion by the cyclic observation of the states of its neighbors. When state changes are either too quick or too slow the system might never reach a state that is sufficiently stable for a specific task. In this paper, we investigate the influences of the error rate on the (stability) convergence time on the basis of topology information acquired in real network experiments. This allows us to asses the asymptotic behavior of relevant self-stabilizing algorithms in typical wireless networks. KW - wireless sensor networks KW - network topology KW - topology KW - stability analysis KW - wireless networks KW - Ad hoc networks Y1 - 2016 SN - 978-1-5090-1460-6 SN - 978-1-5090-1461-3 SP - 122 EP - 124 PB - IEEE CY - Piscataway, NJ ER - TY - GEN A1 - Lohs, Stefan A1 - Karnapke, Reinhardt A1 - Nolte, Jörg T1 - Link stability in a wireless sensor network - an experimental study T2 - Sensor systems and software, third international ICST conference, revised selected papers, Lisbon, Portugal, June 4 - 5, 2012 KW - wireless sensor networks, link stability, unidirectional links Y1 - 2012 SN - 978-3-642-32777-3 SP - 146 EP - 163 PB - Springer CY - Heidelberg [u.a.] ER - TY - GEN A1 - Karnapke, Reinhardt A1 - Lohs, Stefan A1 - Lagemann, Andreas A1 - Nolte, Jörg T1 - Simulation of Unidirectional Links in Wireless Sensor Networks T2 - Proceedings of the 7th International ICST Conference on Simulation Tools and Techniques, SIMUTools '14 Y1 - 2014 SN - 978-1-63190-007-5 SP - 118 EP - 125 PB - ICST CY - Brüssel ER -