Title :
A system for accurate characterization of wireless sensor networks with power states and energy harvesting system efficiency
Author :
Glatz, Philipp M. ; Hormann, Leander B. ; Steger, Christian ; Weiss, Reinhold
Author_Institution :
Inst. for Tech. Inf., Graz Univ. of Technol., Graz, Austria
fDate :
March 29 2010-April 2 2010
Abstract :
Wireless sensor network (WSN) nodes have to cope with severe power supply constraints. Energy harvesting system (EHS) technology is used for prolonging network lifetime. Robust operation of such systems heavily relies on accurate models of EHS efficiency and node power dissipation for calculating sustainable operation modes. A node´s energy balance can be described with a power state model (PSM). While for battery operated WSNs PSM measurement errors and battery effects have to be considered, this paper widens the point of view to EHS properties. We analyze varying PSMs at runtime, EHS efficiency and measurement error´s impacts on duty cycled WSNs. We show a measurement system setup and results from profiling a PSM for Mica2 nodes with an EHS. We explain important considerations for such systems with showing the variance of a node´s energy consumption depending on its supply and we profile EHS efficiency for deducing an energy storage level operating point. The results contribute to problems in the field of low power WSNs and especially EHS supported ones. Robustness of duty cycled WSNs heavily depends on measurement error bounds and is impacted by EHS efficiency. The reader is provided with a methodology for measuring and modeling robust WSNs.
Keywords :
energy harvesting; wireless sensor networks; EHS efficiency; WSN; energy consumption; energy harvesting system efficiency; node power dissipation; power state model; power supply constraint; wireless sensor network; Battery charge measurement; Energy consumption; Energy storage; Measurement errors; Power dissipation; Power supplies; Power system modeling; Robustness; Runtime; Wireless sensor networks; efficiency; energy harvesting system; measurement; power dissipation; power state model; wireless sensor networks;
Conference_Titel :
Pervasive Computing and Communications Workshops (PERCOM Workshops), 2010 8th IEEE International Conference on
Conference_Location :
Mannheim
Print_ISBN :
978-1-4244-6605-4
Electronic_ISBN :
978-1-4244-6606-1
DOI :
10.1109/PERCOMW.2010.5470625