Analysis of the increase and decrease algorithms for congestion avoidance in computer networks
Computer Networks and ISDN Systems
A rate-adaptive MAC protocol for multi-Hop wireless networks
Proceedings of the 7th annual international conference on Mobile computing and networking
An empirical analysis of the IEEE 802.11 MAC layer handoff process
ACM SIGCOMM Computer Communication Review
Proceedings of the 10th annual international conference on Mobile computing and networking
Channel-dependent load balancing in wireless packet networks: Research Articles
Wireless Communications & Mobile Computing - Performance Evaluation of Wireless Networks
Scalable and Robust WLAN Connectivity Using Access Point Array
DSN '05 Proceedings of the 2005 International Conference on Dependable Systems and Networks
A novel association algorithm for congestion relief in IEEE 802.11 WLANs
Proceedings of the 2006 international conference on Wireless communications and mobile computing
Approximate optimization for proportional fair AP association in multi-rate WLANs
WASA'10 Proceedings of the 5th international conference on Wireless algorithms, systems, and applications
Novel association control strategies for multicasting in relay-enabled WLANs
Computer Networks: The International Journal of Computer and Telecommunications Networking
AP Association for Proportional Fairness in Multirate WLANs
IEEE/ACM Transactions on Networking (TON)
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In wireless local area networks (WLANs) often a station can potentially associate with more than one Access Point(AP). In IEEE 802.11, the station simply associates to the AP from which it has received the strongest signal during the scanning process. However, this may result in a significant load imbalance between several APs since some of them might be highly loaded while others are lightly loaded or even idle. Moreover, the multi-rate exibility provided by several IEEE 802.11 variants can cause low bit rate stations to negatively affect high bit rate ones and consequently degrade the overall network throughput. Therefore, a relevant question is how to optimally distribute stations among APs so as to maximize the overall network performance. This paper presents a centralized optimal association policy for IEEE 802.11 WLANs. We first derive the optimal solution for stations association. Then, we evaluate the effectiveness of the solution through the results obtained from Lingo optimization and NCTUns simulation packages.