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 - CHAP A1 - Sieber, André A1 - Karnapke, Reinhardt A1 - Nolte, Jörg T1 - From Energy Accounting to Energy Management T2 - 13. GI/ITG Fachgespräch Sensornetze, 25. und 26. September 2014 an der Universität Potsdam N2 - Embedded systems, e.g. nodes within sensor networks, often have tight bound goals for lifetime while running from a not renewable energy source. Mostly batteries are used, which are vulnerable to temperature and non-linear effects. Additionally, variations within the hardware or induced by the software make the prediction of the available and consumed energy a complicated task. To reach certain lifetime goals under these influences, online energy management is necessary. For a fine-grained management on the level of individual sub-tasks, it is necessary to know where in the system the energy is consumed. In this work, we extend our online energy accounting approach to enable online energy management. We present ways to control application and device behavior, and, thus, energy using energy budgets. First experiments yield promising results, reaching their lifetime goals while maintaining a high application quality. KW - Energy accounting KW - Energy management KW - Wireless sensor networks Y1 - 2014 SP - 25 EP - 28 PB - Universität CY - Potsdam ER -