TY - GEN A1 - Karnapke, Reinhardt A1 - Nolte, Jörg A1 - Walther, Karsten A1 - Sieber, André T1 - Using Preemption in Event Driven Systems with a Single Stack T2 - The Second International Conference on Sensor Technologies and Applications (SENSORCOMM 2008), 25 - 31 August 2008, Cap Esterel, France Y1 - 2008 SN - 978-0-7695-3330-8 SP - 384 EP - 390 PB - IEEE CY - Piscataway, NJ ER - TY - GEN A1 - Sieber, André A1 - Walther, Karsten A1 - Nürnberger, Stefan A1 - Nolte, Jörg T1 - Implicit Sleep Mode Determination in Power Management of Event-driven Deeply Embedded Systems T2 - Wired, wireless internet communications, 7th international conference, proceedings, WWIC 2009, Enschede, The Netherlands, May 27 - 29, 2009 Y1 - 2009 SN - 978-3-642-02117-6 SP - 13 EP - 23 PB - Springer CY - Berlin [u.a.] ER - TY - GEN A1 - Sieber, André A1 - Karnapke, Reinhardt A1 - Nolte, Jörg A1 - Martschei, Thomas T1 - Using Sensor Technology to Protect an Endangered Species: A Case Study T2 - 2011 IEEE 36th Conference on Local Computer Networks (LCN), Bonn, Germany, 4 - 7 October 2011, vol. 2 Y1 - 2011 SN - 978-1-61284-926-3 SP - 1044 EP - 1047 PB - IEEE ER - TY - GEN A1 - Sieber, André A1 - Nolte, Jörg A1 - Karnapke, Reinhardt T1 - Using Energy Budgets to Reach Lifetime Goals while Compensating Dynamic Effects T2 - SENSORCOMM 2015, The Ninth International Conference on Sensor Technologies and Applications, August 23-28, 2015 Venice, Italy N2 - Nodes within sensor networks often have tight bound goals for the lifetime while running from a non-renewable energy source. Variations within the hardware or induced by the software complicate the prediction of the energy consumption. Additionally, batteries are vulnerable to temperature and non-linear effects. To reach certain lifetime goals under these influences without sacrificing energy due to pessimistic estimations, online energy management is necessary. In this paper, we present policies to control the behavior of applications and devices using energy budgets. First experiments yield promising results, with nodes reaching their lifetime goals while maintaining a high application quality. KW - Wireless Sensor Networks KW - Energy Management KW - Lifetime Goals Y1 - 2015 SN - 978-1-61208-425-1 SP - 7 EP - 13 PB - IARIA ER - TY - GEN A1 - Sieber, André A1 - Nolte, Jörg T1 - Online device-level energy accounting for wireless sensor nodes T2 - Wireless Sensor Networks, Proceedings of the 10th European conference on Wireless Sensor Networks, Ghent, Belgien, 2013 N2 - Energy is the crucial factor for the lifetime of wireless sensor networks. Nonlinear battery effects and nonuniform workload distribution can lead to early node failures. This makes it necessary to manage energy consumption. But to manage energy it is essential to know how much energy is spent by the system. Additionally, for a more fine-grained management it is necessary, to know where the energy is spent. This can be a complicated task, since nodes are not identical due to device variations and the consumption can change over time. In this paper we present an online energy accounting approach which focuses on simplicity instead on fine granularity and timing accuracy. We argue that the efficacy of an energy accounting model depends more on the input consumption data than on exact timing, especially when the real consumption varies between nodes and in time. Results show that this approach is capable of correctly accounting the energy that nodes spend in scenarios with deviating environment conditions. KW - Energy accounting KW - Energy measurements KW - Wireless sensor networks Y1 - 2013 SN - 978-3-642-36672-7 SP - 149 EP - 164 PB - Springer CY - Berlin [u.a] ER - TY - GEN A1 - Sieber, André A1 - Nolte, Jörg T1 - Datasheet vs. Real World: A Look on Sensor Node Energy Consumption T2 - 2012 IEEE International Conference on Green Computing and Communications (GreenCom), Besancon, France, 20 - 23 November 2012 N2 - Energy and run time are mayor concerns in wireless sensor networks. Reliable information about the energy consumption is needed to be able to build a network and tune its application. In this paper we take a look on the energy consumption of the Texas Instruments eZ430-Chronos, an MSP430 based wireless sensor node, and compare it to the manufacturers datasheet. The measurements show how reliable these specifications are and which consequences should be taken. KW - Energy measurments KW - Wireless sensor networks Y1 - 2012 SN - 978-1-4673-5146-1 SP - 641 EP - 643 PB - IEEE CY - Piscataway, NJ ER - TY - GEN A1 - Meißner, André A1 - Sieber, Tim A1 - Acker, Jörg ED - Andresen, Birger ED - Rong, Harry ED - Tangstad, Merete ED - Tveit, Halvard ED - Page, Ingrid T1 - Lattice strain and phase transformations in silicon introduced by the precipitation of Cu3Si T2 - Silicon for the Chemical and Solar Industry XV N2 - The reaction of Si with CuCl was studied by a combination of Raman microscopy, confocal microscopy and SEM-EDX. Two reaction pathways were observed to proceed at the same time. The first one is a solid state reaction between Si and Cu or CuCl that leads to a massive nucleation of Cu3Si exactly at the interfacial contacts between CuCl and Si. This study shows how the presence of the Cu3Si phase can be clearly identified and distinguished from areas simply covered with copper by means of Raman microscopic measurements. The second reaction pathway identified proceeds via a short-range gas phase transport of CuCl at low temperatures. The immediate reaction of the transported CuCl to the Si surface causes the massive spread of Cu in the close neighborhood around the CuCl source particles, however, without a nucleation of Cu3Si. The nucleation of Cu3Si precipitates and the short-range transport of CuCl have a tremendous impact on the underlying Si matrix. Tensile- and compressive-strained Si are generated in the immediate vicinity of the precipitates and at their interface to the surrounding silicon. Indications of high-pressure modifications of Si were found. Those areas of the Si surface which are affected by the short-range transport of CuCl and covered with low concentrations of copper exhibit a significant tensile strain. As recently shown, tensile and compressive strain in Si have a significant impact on the reactivity of Si. It might be assumed that Cu3Si-induced lattice strain in Si affects the reactivity of Si in the Direct Reactions in a similar matter. KW - silicon KW - direct synthesis KW - copper silicide KW - cuprous chloride KW - Raman KW - lattice strain KW - reactivity Y1 - 2020 SN - 978-82-997357-9-7 SP - 47 EP - 56 PB - The Norwegian University of Science and Technology CY - Trondheim ER -