Optimal Access Point Selection and Traffic Allocation in IEEE 802.11 Networks Metadata

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Title

  • Main Title Optimal Access Point Selection and Traffic Allocation in IEEE 802.11 Networks

Creator

  • Author: Akl, Robert G.
    Creator Type: Personal
    Creator Info: University of North Texas
  • Author: Park, Sangtae
    Creator Type: Personal
    Creator Info: University of North Texas

Contributor

  • Organizer of meeting: International Institute of Informatics and Systemics
    Contributor Type: Organization

Publisher

  • Name: International Institute of Informatics and Cybernetics
    Place of Publication: [Winter Garden, Florida]

Date

  • Creation: 2005-07

Language

  • English

Description

  • Content Description: This paper discusses optimal access point selection and the traffic allocation in IEEE 802.11 networks.
  • Physical Description: 5 p.

Subject

  • Keyword: WiFi
  • Keyword: access points
  • Keyword: wireless networks
  • Keyword: optimizations

Source

  • Conference: Ninth World Multiconference on Systemics, Cybernetics, and Informatics (WMSCI), 2005, Orlando, Florida, United States

Collection

  • Name: UNT Scholarly Works
    Code: UNTSW

Institution

  • Name: UNT College of Engineering
    Code: UNTCOE

Rights

  • Rights Access: public

Resource Type

  • Paper

Format

  • Text

Identifier

  • Archival Resource Key: ark:/67531/metadc30822

Degree

  • Academic Department: Computer Science and Engineering

Note

  • Display Note: Abstract: We design an optimal access point (AP) selection and traffic allocation algorithm for IEEE 802.11 networks. Coverage and capacity are some key issues when selecting APs in a demand area. APs need to cover all users, i.e., a user is considered covered if the power received from its corresponding AP is greater than a given threshold. Moreover, from a capacity standpoint, APs need to provide certain bandwidth to users located in the coverage area. Our optimization balances the load on the entire network whereby demand clusters will not necessarily select the closest AP that has the largest signal level but one that can still service the demand cluster and provide ample bandwidth.