• DocumentCode
    2352369
  • Title

    Performance Indicators in a 802.11 WLAN Deployment

  • Author

    Gupta, Ajay Kumar ; Dhyani, Prabhash

  • Author_Institution
    Airtight Networks, Pune, India
  • fYear
    2009
  • fDate
    27-28 Oct. 2009
  • Firstpage
    490
  • Lastpage
    494
  • Abstract
    Organizations and Institutions across the world are increasingly deploying 802.11 based WLAN (in short Wi-Fi) to have mobility benefits in their operations. However, due to the nature of 802.11 technology, there are more number of challenges for an administrator in ensuring the optimum performance levels for the deployed WLAN compared to a wired network. Degraded performance leads to connectivity problems and low data throughput for wireless clients using the Wi-Fi network. In the presented work, we have identified a set of indicators whose values at any point of time signals a possible degradation in WLAN performance. Each of the identified indicators is explained and the behavior of same is illustrated using an example with respect to presence or absence of performance anomalies in a WLAN deployment.
  • Keywords
    wireless LAN; 802.11 technology; WLAN; Wi-Fi; Artificial intelligence; Clustering algorithms; Color; Communications technology; Computer vision; Image recognition; Image segmentation; Machine learning; Pattern recognition; Wireless LAN; WLAN; deployment; performance; wifi;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advances in Recent Technologies in Communication and Computing, 2009. ARTCom '09. International Conference on
  • Conference_Location
    Kottayam, Kerala
  • Print_ISBN
    978-1-4244-5104-3
  • Electronic_ISBN
    978-0-7695-3845-7
  • Type

    conf

  • DOI
    10.1109/ARTCom.2009.203
  • Filename
    5329260