This file was created by the TYPO3 extension bib --- Timezone: CEST Creation date: 2024-04-25 Creation time: 03-49-40 --- Number of references 4 inproceedings petrak2005dienstguete 2005 3 Proceedings of Workshop Peer-to-Peer-Systems and -Applications, KiVS 2005 Kaiserslautern, Germany Workshop Peer-to-Peer-Systems and -Applications, KiVS 2005 March 2005 LeoPetrak SimonRieche KlausWehrle article 200504landsiedelpikenergy Special Issue on Sensor Networks, PIK Journal 2005 28 2 Simulation is the de-facto standard tool for the evaluation of distributed and communication systems like sensor networks. Most simulation efforts focus on protocol- and algorithm-level issues, thus depending on the right choice and configuration of models. However, as such models commonly neglect time dependent issues, many research challenges, like energy consumption and radio channel utilization still remain. In this article we present two new tools to model and analyze sensor networks: Avrora, a fast and accurate sensor network simulator, and AEON, a novel tool built on top of Avrora, to evaluate the energy consumption and to accurately predict the lifetime of sensor networks. Avrora is a highly scalable instruction-level simulator for sensor network programs. It simulates the execution of the program down to the level of individual clock cycles, a time quantum of about 135 ns. By incorporating state of the art simulation techniques, including an efficiently maintained event queue, fast-forward through sleep-time, and parallel simulation, it can simulate entire networks of nodes in real time. AEON's energy model is based on Avrora and makes use of the cycle accurate execution of sensor node applications for precise energy measurements. Due to limited energy resources, power consumption is a crucial characteristic of sensor networks. AEON uses accurate measurements of node current draw and the execution of real code to enable accurate prediction of the actual power consumption of sensor nodes. Consequently, it prevents erroneous assumptions on node and network lifetime. Moreover, our detailed energy model allows to compare different low power and energy aware approaches in terms of energy efficiency. Thus, it enables a highly precise estimation of the overall lifetime of a sensor network. OlafLandsiedel KlausWehrle Ben LTitzer JensPalsberg conference 200509petraksoftcommobility 2005 Proceedings of the 2005 Conference on Software for Communication Systems and Computer Networks LeoPetrak OlafLandsiedel KlausWehrle inproceedings 200503landsiedelfgsnaeon 2005 481 72-76 Power consumption is a crucial characteristic of sensor networks and their applications, as sensor nodes are commonly battery driven. Although recent research focuses strongly on energy aware applications and operating systems, power consumption is still a limiting factor. Once sensor nodes are deployed, it is challenging and sometimes even impossible to change batteries. As a result, erroneous lifetime prediction causes high costs and may render a sensor network useless, before its purpose is fulfilled. In this paper we present AEON, a novel evaluation tool to quantitatively predict power consumption of sensor nodes and whole sensor networks. Our energy model, based on measurements of node current draw and the execution of real code, enables accurate prediction of the actual power consumption of sensor nodes. Consequently, preventing erroneous assumptions on node and network lifetime. Moreover, our detailed energy model allows to compare different low power and energy aware approaches in terms of energy efficiency.

Zürich, CH

Proceedings of the 4th GI/ITG KuVS Fachgespräch "Wireless Sensor Networks", Techical Report No. 481 OlafLandsiedel KlausWehrle SimonRieche StefanGötz LeoPetrak