An Energy-Aware Learning Agent for Power Management in Mobile Devices
| Autor: | Emmanuelle Grislin-Le Strugeon, Ismat Chaib Draa, Smail Niar |
|---|---|
| Přispěvatelé: | Laboratoire d'Automatique, de Mécanique et d'Informatique industrielles et Humaines - UMR 8201 (LAMIH), Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Centre National de la Recherche Scientifique (CNRS)-INSA Institut National des Sciences Appliquées Hauts-de-France (INSA Hauts-De-France) |
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Knowledge management
Context-awareness business.industry Energy management Computer science 020208 electrical & electronic engineering Mobile computing Mobile device 02 engineering and technology Energy consumption Embedded agent 7. Clean energy 020202 computer hardware & architecture Software agent Embedded system Component-based software engineering 0202 electrical engineering electronic engineering information engineering Context awareness Mobile agent [INFO]Computer Science [cs] business |
| Zdroj: | Advances in Artificial Intelligence: From Theory to Practice-30th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems Advances in Artificial Intelligence: From Theory to Practice-30th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, Jun 2017, Arras, France. pp.242-245, ⟨10.1007/978-3-319-60042-0_28⟩ Advances in Artificial Intelligence: From Theory to Practice ISBN: 9783319600413 IEA/AIE (1) |
| Popis: | International audience; The optimization of the energy consumption in mobile devices can be performed on hardware and software components. For example, reducing the screen brightness or switching off GPS. The energy control must take into account both the current context and user habits, on the base of usage knowledge acquired from sensors and OS data records. The whole process of energy management then includes data collection, usage learning and analysis, decision-making and control of device components. To integrate these activities, we propose to use a software agent whose goal is to save the energy of the mobile device with the lowest effect on QoS. |
| Databáze: | OpenAIRE |
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