• DocumentCode
    2755829
  • Title

    A New AP-Selection Strategy for High Density IEEE802.11 WLANs

  • Author

    Wan, Xin ; Wang, Xingming ; Heo, Ung ; Choi, Jaeho

  • Author_Institution
    Dept. of Electron. Eng., Chonbuk Nat. Univ., Chonju, South Korea
  • fYear
    2010
  • fDate
    10-12 Oct. 2010
  • Firstpage
    52
  • Lastpage
    58
  • Abstract
    Wireless local area networks are presently widely deployed so that different stations can potentially associate with an access point (AP). The AP selection strategy is one of the significant research areas for wireless local area networks. The selection strategy solves the relevant problem of which AP can be selected and associated with a station so that efficient resource utilization can be obtained. Rather than merely choosing the AP with the strongest received signal strength, however, we calculate the effective throughput for each neighboring AP and use the result as a basis for the AP selection. Referencing the throughput is better than referencing the signal strength because the network may contain a severe load imbalance. We performed computer simulations using the OPNET modeler in order to verify the performance of our scheme. The results show us that our proposed selection method outperforms the conventional one in terms of throughput.
  • Keywords
    radio access networks; virtual machines; wireless LAN; AP-selection strategy; OPNET modeler; access point; computer simulation; high density IEEE802.11 WLAN; load imbalance; resource utilization; signal strength; wireless local area network; Measurement; Mobile communication; Physical layer; Throughput; Trajectory; Wireless LAN; Wireless communication; Access point selection strategy; Energy efficient scheme; Load balancing; Wireless mobile network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC), 2010 International Conference on
  • Conference_Location
    Huangshan
  • Print_ISBN
    978-1-4244-8434-8
  • Electronic_ISBN
    978-0-7695-4235-5
  • Type

    conf

  • DOI
    10.1109/CyberC.2010.20
  • Filename
    5615511