• DocumentCode
    2521198
  • Title

    Evaluation of data compression for energy-aware communication in mobile networks

  • Author

    Le Wang ; Manner, Jukka

  • Author_Institution
    Dept. of Commun. & Networking, Helsinki Univ. of Technol., Helsinki, Finland
  • fYear
    2009
  • fDate
    10-11 Oct. 2009
  • Firstpage
    69
  • Lastpage
    76
  • Abstract
    The development of ICT following Moore´s Law has resulted in a situation where mobile users are able to make use of a wealth of versatile services. Yet, battery and electronics technology has not followed this development as well, which has resulted in a situation where a mobile user´s battery can only enable a few hours of active use. Therefore, we need to focus increasingly on energy efficient wireless and mobile communication to reduce energy consumption, but also to cut down greenhouse emissions and improve business competitiveness. Due to significant energy consumption of transmitting data over wireless networks, data compression techniques are one simple way to trade the overhead of compression for less communication energy. This paper investigates the usages of data compression to reduce the energy consumption in a modern hand-held device. By conducting various experiments, we analyze content-aware compression schemes that can reduce energy consumption significantly. Yet, blind or careless use of compression results in a huge energy loss. We also discuss the deployment issues of data compression.
  • Keywords
    Internet; data compression; energy consumption; mobile computing; mobile radio; power aware computing; ICT; content-aware compression schemes; data compression; energy consumption; energy efficient communication; energy-aware communication; greenhouse emissions; mobile networks; modern hand-held device; Batteries; Business communication; Data compression; Energy consumption; Energy efficiency; Energy loss; Mobile communication; Moore´s Law; Wireless communication; Wireless networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cyber-Enabled Distributed Computing and Knowledge Discovery, 2009. CyberC '09. International Conference on
  • Conference_Location
    Zhangijajie
  • Print_ISBN
    978-1-4244-5218-7
  • Electronic_ISBN
    978-1-4244-5219-4
  • Type

    conf

  • DOI
    10.1109/CYBERC.2009.5342172
  • Filename
    5342172