Dynamic tuning of the IEEE 802.11 protocol to achieve a theoretical throughput limit
IEEE/ACM Transactions on Networking (TON)
Improving loss resilience with multi-radio diversity in wireless networks
Proceedings of the 11th annual international conference on Mobile computing and networking
Self-management in chaotic wireless deployments
Proceedings of the 11th 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
Dynamic polling mechanism for enhancing voice transmission in IEEE 802.11e wireless LANs
International Journal of Wireless and Mobile Computing
A Hybrid Genetic Algorithm for Flexible Task Collaborative Scheduling
WGEC '08 Proceedings of the 2008 Second International Conference on Genetic and Evolutionary Computing
Performance analysis of the IEEE 802.11 distributed coordination function
IEEE Journal on Selected Areas in Communications
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With the ever increasing deployment density of Wireless Local Area Networks (WLANs), more and more access points (APs) are deployed within users' vicinity. The effective management of these APs to optimize users' eventual throughput becomes an important challenge in the high-density deployment environment. In this paper, we propose a user-centric network management framework to optimize the throughput of users operating in the high-density WLANs taking into consideration the network conditions sensed by users and their access priorities. The proposed framework is built around an information pipeline that facilitates the sharing of the information needed for optimal management of communication resources. Theoretical analysis and extensive simulations are presented on two major management activities: AP association and channel selection, and demonstrate that the proposed user-centric network management framework significantly outperforms traditional network management framework in the high-density deployment environment.