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Moving task scheduling to co-processors in energy-harvesting systems
Citation Link: https://doi.org/10.15480/882.4488
Publikationstyp
Conference Paper
Date Issued
2018-09
Sprache
English
TORE-DOI
Citation
17th GI/ITG KuVS Fachgespräch Sensornetze, FGSN’18, Braunschweig, Germany, Sept. 2018. - pp. 41-44 (09-2018)
Contribution to Conference
Publisher DOI
New applications for Wireless Sensor Networks (WSNs) pose new demands on energy-harvesting systems due to increased complexity and power consumption. However, microcontrollers with high computing power are over-dimensioned for energy-aware activity adaption. An assistant processor which schedules activity and monitors the energy state of the harvester can increase the energy efficiency of the whole platform. Therefore, we use a sleek communication interface for exchanging task information between assistant processor and sensor node.
Even with communication overhead, a factor of 35 in energy can be saved, which allows the whole platform to increase energy efficiency.
Even with communication overhead, a factor of 35 in energy can be saved, which allows the whole platform to increase energy efficiency.
DDC Class
004: Informatik
600: Technik
620: Ingenieurwissenschaften
Publication version
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