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
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;
Conference_Titel :
Local & Metropolitan Area Networks (LANMAN), 2013 19th IEEE Workshop on
Conference_Location :
Brussels
Print_ISBN :
978-1-4673-4984-0
Electronic_ISBN :
1944-0367
DOI :
10.1109/LANMAN.2013.6528280