Title :
Power management strategies in self-sufficient sensor nodes
Author :
Philipp Mehne;Michael Kr?ner;Peter Woias
Author_Institution :
Department of Microsystem Engineering, IMTEK, University of Freiburg, Freiburg, Germany
fDate :
3/1/2015 12:00:00 AM
Abstract :
Wireless sensor nodes, powered from energy harvesting generators using available ambient power sources, need a sophisticated power management to optimally budget the scarcely available energy. By that, the reliability, the functionality, and availability of these nodes are increased. The decisions of the power management can either be based on a simple energy income and storage level knowledge, or it additionally has empirical information about the past power income. In case the system comprises two energy storage units with different capacities for long and short term use, the commonly used power management algorithms do not offer satisfactory functionality. This report provides an overview over different concepts of power management strategies for. These offer an improved performance by better task management, storage organization, and power routing.
Keywords :
"Prediction algorithms","Energy storage","Wireless sensor networks","Wireless communication","Algorithm design and analysis","Reliability","Energy harvesting"
Conference_Titel :
Systems, Signals & Devices (SSD), 2015 12th International Multi-Conference on
DOI :
10.1109/SSD.2015.7348234