• DocumentCode
    1877704
  • Title

    Energy efficient ANDSF-assisted network discovery for non-3GPP access networks

  • Author

    Triantafyllopoulou, Dionysia ; Guo, Tao ; Moessner, Klaus

  • Author_Institution
    Centre for Commun. Syst. Res., Univ. of Surrey, Guildford, UK
  • fYear
    2012
  • fDate
    17-19 Sept. 2012
  • Firstpage
    297
  • Lastpage
    301
  • Abstract
    The aim of this paper is to improve the energy efficiency during network discovery in heterogeneous networking environments. To this end, we propose a novel network discovery algorithm that exploits both user and network context information in order to efficiently adapt the network scanning period, thus avoiding unnecessary energy-consuming scanning or mis-detection of available networks that can be used as targets of handover. The performance of the proposed algorithm is compared against a system that performs network scanning in a periodic manner, without taking into consideration the user and network context information. According to simulation results, the system that employs the proposed network discovery algorithm achieves significant performance improvement in terms of energy consumption and network detection delay, with no loss in the network detection rate.
  • Keywords
    energy conservation; subscriber loops; access network discovery and selection function; energy efficient ANDSF-assisted network discovery; energy-consuming scanning; handover target; heterogeneous networking environment; network context information; network detection delay rate; network misdetection; network scanning; non3GPP access network; user context information; Algorithm design and analysis; Context; Delay; Energy consumption; Wireless LAN; ANDSF; LTE; WLAN; context awareness; energy efficiency; network discovery;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), 2012 IEEE 17th International Workshop on
  • Conference_Location
    Barcelona
  • Print_ISBN
    978-1-4673-3123-4
  • Electronic_ISBN
    978-1-4673-3124-1
  • Type

    conf

  • DOI
    10.1109/CAMAD.2012.6335354
  • Filename
    6335354