Wireless Communications: Principles and Practice
Wireless Communications: Principles and Practice
Hot-Spot Congestion Relief in Public-Area Wireless Networks
WMCSA '02 Proceedings of the Fourth IEEE Workshop on Mobile Computing Systems and Applications
An empirical analysis of the IEEE 802.11 MAC layer handoff process
ACM SIGCOMM Computer Communication Review
Fairness and load balancing in wireless LANs using association control
Proceedings of the 10th annual international conference on Mobile computing and networking
A novel association algorithm for congestion relief in IEEE 802.11 WLANs
Proceedings of the 2006 international conference on Wireless communications and mobile computing
IQU: practical queue-based user association management for WLANs
Proceedings of the 12th annual international conference on Mobile computing and networking
Facilitating access point selection in IEEE 802.11 wireless networks
IMC '05 Proceedings of the 5th ACM SIGCOMM conference on Internet Measurement
Performance analysis of the IEEE 802.11 distributed coordination function
IEEE Journal on Selected Areas in Communications
Supporting service differentiation in wireless packet networks using distributed control
IEEE Journal on Selected Areas in Communications
Traffic-aware decentralized AP selection for multi-rate in WLANs
ICACT'10 Proceedings of the 12th international conference on Advanced communication technology
Proceedings of the fifth ACM international workshop on Mobility in the evolving internet architecture
Sybot: an adaptive and mobile spectrum survey system for wifi networks
Proceedings of the sixteenth annual international conference on Mobile computing and networking
Proceedings of the 13th ACM international conference on Modeling, analysis, and simulation of wireless and mobile systems
Improved AP association management using machine learning
ACM SIGMOBILE Mobile Computing and Communications Review
A game theoretical study of access point association in wireless mesh networks
Computer Communications
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The performance of an IEEE 802.11 station heavily depends on the selection of an AP (Access Point) that the station is associated with to access the Internet. The conventional approach to the AP selection is based on the received signal strength called RSSI (Received Signal Strength Indication) from APs within the transmission range. This approach however, might yield unbalanced traffic load among APs as the station chooses an AP only based on the signal strength, instead of considering the AP load and the level of contention on medium access. Accordingly, the station that is associated with the highest-RSSI AP might suffer from poor network performance. In this paper, we propose a new association metric, EVA (Estimated aVailable bAndwidth) with which a station can find the AP that provides the maximum achievable throughput among scanned APs. EVA is designed to estimate the available bandwidth on a channel with respect to a station that is to join a WLAN (Wireless Local Area Network). A station equipped with EVA observes a channel state in a per-slot basis, and yet does not request any external information from nearby APs or neighbor stations. Our estimation mechanism is non-intrusive, fully distributed, and independent of the infrastructure. Through simulation study, we evaluate the accuracy of the estimation and show that EVA-based association yields enhanced throughput performance compared with the legacy scheme.