SmartTecO: context-based ambient sensing and monitoring for optimizing energy consumption

  • Authors:
  • Yong Ding;Naoya Namatame;Till Riedel;Takashi Miyaki;Matthias Budde

  • Affiliations:
  • Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany;Keio University, Tokyo, Japan;Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany;Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany;Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany

  • Venue:
  • Proceedings of the 8th ACM international conference on Autonomic computing
  • Year:
  • 2011

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Abstract

This paper presents an energy-saving concept for home/office environments, which proposes to design a multi-layered architecture for an automatic monitoring and control. Based on wireless sensor networks and a context awareness system, the acquired data will be interpreted into different energy-related contextual information. A correlation module using Hidden Markov Models could then give the actuation module a certain context, which allows managing and saving the energy consumption of home/office appliances.