• DocumentCode
    605611
  • Title

    Networks as a tool to save energy while keeping up general user comfort in buildings

  • Author

    De Hauwere, Y.-M. ; Van Moffaert, K. ; Verhaegen, P.-A. ; Nowe, Ann

  • Author_Institution
    Artificial Intell. Lab., Vrije Univ. Brussel, Brussels, Belgium
  • fYear
    2013
  • fDate
    10-12 April 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Devices, like Smartphones, tablets, notebooks, desktop computers, smart televisions are all connected to our home network. Analyzing the traffic on a network has already been widely studied in order to be able to detect anomalies in the network such as broken hardware, bad routing schemes or intrusions. We claim that network traffic analysis however can also bring forward valuable information about the users of that network. In this paper we demonstrate with a practical applications how we can save energy by analysing the usage on the network, as network activity informs us about the activity of the user.
  • Keywords
    artificial intelligence; buildings (structures); energy conservation; power engineering computing; telecommunication traffic; anomaly detection; artificial intelligence; building; desktop computer; energy saving; network traffic analysis; notebook; routing scheme; smart television; smartphone; tablet; user comfort; Approximation algorithms; Computers; Data mining; Manuals; Monitoring; Power demand; Schedules;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Local & Metropolitan Area Networks (LANMAN), 2013 19th IEEE Workshop on
  • Conference_Location
    Brussels
  • ISSN
    1944-0367
  • Print_ISBN
    978-1-4673-4984-0
  • Electronic_ISBN
    1944-0367
  • Type

    conf

  • DOI
    10.1109/LANMAN.2013.6528280
  • Filename
    6528280