• DocumentCode
    2962775
  • Title

    A Centralized Network Selection Algorithm Based on Access Router Discovery in Heterogeneous Wireless Networks

  • Author

    Solouk, Vahid ; Ali, Borhanuddin M.

  • Author_Institution
    Dept. of Inf. Technol. Eng., Urmia Univ. of Technol., Urmia, Iran
  • fYear
    2010
  • fDate
    20-25 Sept. 2010
  • Firstpage
    384
  • Lastpage
    388
  • Abstract
    Seamless mobility across heterogeneous wireless networks requires a certain level of Quality of Service (QoS) to be assured as it determines the packet loss and delay during handoff procedure. Selecting the target network in an appropriate time plays a crucial role towards achieving ubiquitous networks. This paper proposes a network discovery and selection method called Improved Access Router Discovery (IARD) in a heterogeneous environment comprising of WLAN and UMTS networks. In this method, the nomination of potential networks is performed in core network using a special Weighted Mean (MW) algorithm with each network ranked based on several criteria and the highest rank network is proposed as the target network. This method was tested by means of simulation under various conditions with different traffic types and was shown to result in more appropriate network selections as compared to other methods.
  • Keywords
    3G mobile communication; quality of service; telecommunication network routing; wireless LAN; UMTS; WLAN; centralized network selection algorithm; heterogeneous wireless networks; improved access router discovery; network discovery; quality of service; seamless mobility; ubiquitous network; weighted mean algorithm; Algorithm design and analysis; Bandwidth; Delay; Manganese; Protocols; Wireless networks; Heterogeneous network; IARD; Network discovery; Traffic class; Weighted mean;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless and Mobile Communications (ICWMC), 2010 6th International Conference on
  • Conference_Location
    Valencia
  • Print_ISBN
    978-1-4244-8021-0
  • Electronic_ISBN
    978-0-7695-4182-2
  • Type

    conf

  • DOI
    10.1109/ICWMC.2010.9
  • Filename
    5628788