Smart Energy Management and Low-Power Design of Embedded Systems on Algorithmic Level for Self-Powered Sensorial Materials and Robotics
Stefan Bosse, Thomas Behrmann, Frank Kirchner
In Proceedings of the Smart Systems Integration Conference 2011, (SSI-11), 22.3.-23.3.2011, Dresden, o.A., Mar/2011.
Abstract
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A new design methodology for low-power embedded systems is presented which is based on advanced algorithms from computer science. System-On- Chip architecture, power analysis, and advanced system modelling methodol- ogies are used.
Keywords
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Energy Management, Low-Power, System-On-Chip, Sensorial Materials, Mi- crosystems, High-Level Synthesis, Signal Flow Diagrams, Petri-Nets