Hanschke, LarsLarsHanschkeSowarka, AlexanderAlexanderSowarkaRenner, Bernd-ChristianBernd-ChristianRenner2022-07-252022-07-252018-0917th GI/ITG KuVS Fachgespräch Sensornetze, FGSN’18, Braunschweig, Germany, Sept. 2018. - pp. 41-44 (09-2018)http://hdl.handle.net/11420/13252New 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.enhttp://rightsstatements.org/vocab/InC/1.0/InformatikTechnikIngenieurwissenschaftenMoving task scheduling to co-processors in energy-harvesting systemsConference Paper10.15480/882.448810.24355/dbbs.084-201809121401-110.15480/882.4488Conference Paper