• DocumentCode
    1596668
  • Title

    High level energy consumption estimation and profiling for optimizing Wireless Sensor Networks

  • Author

    Haase, Jan ; Molina, Javier Moreno ; Grimm, Christoph

  • Author_Institution
    Inst. of Comput. Technol., Vienna Univ. of Technol., Vienna, Austria
  • fYear
    2010
  • Firstpage
    537
  • Lastpage
    542
  • Abstract
    Wireless Sensor Networks (WSNs) are being gradually introduced in different application scenarios. One of the main constraints for their deployment is energy consumption, as sensor nodes are usually stand alone battery-powered devices. For this reason, most efforts in research are being focused in energy-aware architectures and protocols. To aid in this search of most energy efficient strategies, this work proposes a solution to simulate together all power consuming subsystems of a sensor node and to integrate this information in high level global profiles in order to provide useful information to the designer. In order to achieve that, information about energy consumption is taken into account from different perspectives at the same time. Those perspectives aim for answering where, what for and why power was consumed, solving most frequent semantic gaps the designer has to deal with.
  • Keywords
    power aware computing; power consumption; wireless sensor networks; battery-powered device; energy-aware architecture; high level energy consumption estimation; power consuming subsystem; protocols; sensor node; wireless sensor networks; Algorithm design and analysis; Batteries; Energy consumption; Hardware; Power system modeling; Protocols; Sensor systems; Tires; Wire; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Informatics (INDIN), 2010 8th IEEE International Conference on
  • Conference_Location
    Osaka
  • Print_ISBN
    978-1-4244-7298-7
  • Type

    conf

  • DOI
    10.1109/INDIN.2010.5549686
  • Filename
    5549686