Optimal Access Point Selection and Traffic Allocation in IEEE 802.11 Networks

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This paper discusses optimal access point selection and the traffic allocation in IEEE 802.11 networks.

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5 p.

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Akl, Robert G. & Park, Sangtae July 2005.

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This paper is part of the collection entitled: UNT Scholarly Works and was provided by UNT College of Engineering to Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 327 times . More information about this paper can be viewed below.

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This paper discusses optimal access point selection and the traffic allocation in IEEE 802.11 networks.

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5 p.

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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.

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

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UNT Scholarly Works

Materials from the UNT community's research, creative, and scholarly activities and UNT's Open Access Repository. Access to some items in this collection may be restricted.

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  • July 2005

Added to The UNT Digital Library

  • Jan. 24, 2011, 2:10 p.m.

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  • March 27, 2014, 12:39 p.m.

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Akl, Robert G. & Park, Sangtae. Optimal Access Point Selection and Traffic Allocation in IEEE 802.11 Networks, paper, July 2005; [Winter Garden, Florida]. (digital.library.unt.edu/ark:/67531/metadc30822/: accessed August 17, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT College of Engineering.