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13. GI / ITG Fachgespr ach Sensornetze Bettina Schnor Institut f - PDF document

13. GI / ITG Fachgespr ach Sensornetze Bettina Schnor Institut f ur Informatik und Computational Science Berichte Institut f ur Informatik und Computational Science UP, ISSN 0946-7580, TR-2014-1 Programmkommittee Oleksandr Artemenko


  1. 13. GI / ITG Fachgespr¨ ach Sensornetze Bettina Schnor Institut f¨ ur Informatik und Computational Science Berichte Institut f¨ ur Informatik und Computational Science UP, ISSN 0946-7580, TR-2014-1

  2. Programmkommittee Oleksandr Artemenko Steffen Christgau Waltenegus Dargie Michael Engel Sebastian Fudickar J¨ org H¨ ahner Matthias Hollick Reinhardt Karnapke Peter Langend¨ orfer Stefan Lohs Sebastian Porombka Bettina Schnor Andre Sieber

  3. Inhaltsverzeichnis Session 1: Sensor-Netze - Quo Vadis? Wireless Sensor Networks and Their Applications: Where Do We Stand? And Where Do We Go? Andreas Reinhardt, Sebastian Z¨ oller und Delphine Christin 1 Development of a Contiki border router for the interconnection of 6LoWPAN and Ethernet Viktor Eichmann und Thomas Scheffler 5 langOS - A Low Power Application-specific Configurable Operating System Oliver Stecklina, Andreas Krumholz und Stephan Kornemann 9 Session 2: Algorithmen Self-Stabilizing Aggregation- and Reduction-Structures for Wireless Sensor Networks Sandra Beyer, Stefan Lohs, Reinhardt Karnapke und J¨ org Nolte 13 Advanced Timestamping for pairwise Clock Drift Detection in Wireless Sensor/Actuator Networks Marcel Baunach 17 Session 3: Zuverl¨ assigkeit und Energiemanagement Anwendungsm¨ oglichkeiten softwarebasierter Selbstreparaturtechniken f¨ ur Prozessoren in Sensor- knoten Mario Sch¨ olzel 21 From Energy Accounting to Energy Management Andre Sieber, Reinhardt Karnapke und J¨ org Nolte 25 Synchronisierte Messung durch Trigger-Broadcast und weitere Funktionen f¨ ur drahtlose Batterie- sensorik Valentin Roscher, Matthias Schneider, Phillip Durdaut, Nico Sassano, Sergej Pereguda, Eike Mense und Karl-Ragmar Riemschneider 29

  4. Session 4: Anwendungen Quadrotor-based DT-WSNs for Disaster Recovery Felix B¨ usching, Keno Garlichs, Johannes van Balen, Yannic Schr¨ oder, Kai Homeier, Ulf Kulau, Wolf-Bastian P¨ ottner, Stephan Rottmann, Sebastian Schildt, Georg von Zengen und Lars Wolf 33 Less GHz is More - On Indoor Localisation Accuracies and Device runtimess Sebastian Fudickar 36 A Validated Simulation Model for Communicating Paragliders Juergen Eckert, Christoph Sommer und David Eckhoff 41

  5. Wireless Sensor Networks and Their Applications: Where Do We Stand? And Where Do We Go? Andreas Reinhardt Sebastian Z¨ oller Delphine Christin School of Computer Science and Engineering Multimedia Communications Lab Privacy and Security in Ubiquitous Computing The University of New South Wales Technische Universit¨ at Darmstadt University of Bonn Sydney, Australia Darmstadt, Germany Bonn, Germany andreasr@cse.unsw.edu.au zoeller@kom.tu-darmstadt.de christin@cs.uni-bonn.de II. A PPLICATIONS OF W IRELESS S ENSOR N ETWORKS Abstract —Research on wireless sensor networks has been ongoing for more than 15 years. As a result, an enormous number In an approach to highlight the breadth of WSN application of novel ideas have been proposed in academic and industrial areas, we categorize the deployments presented in twelve research since then. These comprise the design of new hardware survey publications (cf. [2–13]) in Table I. We discuss the components, novel communication and processing regimes, and the realization of systems that would have been unimaginable characteristics of the nine resulting categories and summarize before wireless sensor networks came into existence. The resulting representative deployments for each category as follows. application areas are broad, ranging from deployments of a few A. Environmental monitoring low-cost sensor nodes to the installation of large numbers of highly specialized sensing systems. In this paper, we summarize Environmental monitoring is one of the oldest application wireless sensor network application trends and point out future areas for WSN technology. WSNs provide the opportunity for directions and emerging novel application domains that bear high the unobtrusive monitoring of areas that are difficult to access research potential. for humans, e.g., natural animal habitats. One of the earliest I. I NTRODUCTION WSN deployments has been the deployment within the Great Duck Island project [14], where the natural habitat of Leach’s In 1999, the notion of mote s has been introduced in [1]. This Storm Petrels was monitored. Another prominent environmen- visionary idea of combining sensing, computation, and com- tal monitoring deployment is the PermaSense project [15], in munication capabilities into minuscule systems that can easily which WSN technology is applied to monitor a hard-to-reach be deployed to sense environmental parameters has since permafrost area in the Swiss Alps. been taken up by innumerable researchers around the world. Consequently, many facets of the resulting wireless sensor B. Disaster control networks ( WSN s) have been investigated to date, ranging from The prevention of disasters and proper reactions to disasters designs for hard- and software to novel application scenarios. where prevention is not possible is a second application area In fact, virtually no part of motes and their applications has for WSNs. An application example is the usage of motes on been left untouched by researchers in search for optimization chemical drums [16, 17] to monitor that a maximum quantity potential, new research directions, and beyond. of chemicals allowed to be stored together in a certain area Strong ongoing research activities confirm the topicality of is not exceeded. Structural health monitoring, e.g., of bridges, WSN research. However, at the same time the ubiquity of constitutes another example for applying WSNs in the field of research in this domain naturally elicits the question whether disaster control. It serves the purpose to estimate the current new research is still possible and meaningful. In this paper, state of a structure and detect relevant state changes so that we thus present our vision of future research directions in critical states can be identified and countermeasures taken wireless sensor networks. Although a large spectrum of po- in time to prevent disasters. One such WSN has, e.g., been tential open challenges still exists, we specifically focus on deployed on the Golden Gate Bridge in San Francisco [18]. application scenarios for WSN technology. Novel applications C. Smart spaces directly implicate the need for research on many underlying aspects, e.g., hardware platforms, processing algorithms and Ambient intelligence, or smart spaces , can be realized by communication protocols as well as sensor data collection and continually monitoring the environment and taking actuation interpretation. decisions to improve the users’ comfort and safety. Currently, In this paper, we first survey existing WSN applications many applications focus on the user-oriented control of heat- in Sec. II, in order to delineate emerging trends in sensor ing, ventilation, and air conditioning systems [19]. Another networks from the state-of-the-art. Subsequently, we highlight application example for WSN technology in the context of our visions for sensor network applications in Sec. III and smart space realizations is the usage of motes for monitoring outline selected required research contributions. Finally, we electrical energy consumption [20], targeting building energy summarize the core findings of this paper in Sec. IV. efficiency by reducing energy consumption. 1

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