Load balancing access point association schemes for IEEE 802.11 wireless networks

Authors:
Yuan Le;Liran Ma;Hongjun Yu;Xiuzhen Cheng;Yong Cui;Mznah A. Al-Rodhaan;Abdullah Al-Dhelaan
Affiliations:
Department of Computer Science, The George Washington University, Washington, DC;Department of Computer Science, Texas Christian University, Fort Worth, TX;Department of Computer Science, The George Washington University, Washington, DC;Department of Computer Science, The George Washington University, Washington, DC and Department of Computer Science, King Saud University, Riyadh, Saudi Arabia;Department of Computer Science and Technology, Tsinghua University, Beijing, China;Department of Computer Science, King Saud University, Riyadh, Saudi Arabia;Department of Computer Science, King Saud University, Riyadh, Saudi Arabia
Venue:
WASA'11 Proceedings of the 6th international conference on Wireless algorithms, systems, and applications
Year:
2011

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Abstract

In a Wireless Local Area Network (WLAN), each station typically selects an Access Point (AP) with the strongest signal. This AP selection approach does not consider the AP's load. In a hot spot scenario, however, the throughput of the entire network might be severely degraded if the APs' loads are unbalanced. In this paper, we formulate an optimization problem whose objective is to minimize the load variance of the APs. This problem is NP-complete, and therefore we propose two greedy heuristics to derive load balancing AP associations. A comparison based simulation study is carried out to evaluate the performance of our design.