Summary: WMSCI 05: COMMUNICATION AND NETWORK SYSTEMS, TECHNOLOGIES AND APPLICATIONS 1
Optimal Access Point Selection and Traffic
Allocation in IEEE 802.11 Networks
Robert Akl and Sangtae Park
Department of Computer Science and Engineering
University of North Texas, Denton, Texas, 76207.
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 minimum 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