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Exploiting user location for load balancing WLANs and improving wireless QoS

Exploiting user location for load balancing WLANs and improving wireless QoS A “Smart Spaces System”, called MITOS, for improved user connectivity in large wireless LAN installations is proposed. MITOS extends the scope of resource management to the dynamic relocation of nomadic users: the system suggests to a user the best location to move to for obtaining a satisfactory quality of service level, when the controlling access point of its current location becomes congested. The system monitors the traffic and user location across the network, and formulates the appropriate relocation proposal urging specific users to move to better locations at reasonable distances. Two enhancements to the basic MITOS system are introduced for maintaining an almost uniform load level across the considered infrastructure: the first uses microeconomic concepts, while the second borrows game theoretic mechanisms from the Santa Fe Bar problem. Simulation results on the efficiency of the proposed schemes are provided. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ACM Transactions on Autonomous and Adaptive Systems (TAAS) Association for Computing Machinery

Exploiting user location for load balancing WLANs and improving wireless QoS

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Publisher
Association for Computing Machinery
Copyright
Copyright © 2009 by ACM Inc.
ISSN
1556-4665
DOI
10.1145/1516533.1516537
Publisher site
See Article on Publisher Site

Abstract

A “Smart Spaces System”, called MITOS, for improved user connectivity in large wireless LAN installations is proposed. MITOS extends the scope of resource management to the dynamic relocation of nomadic users: the system suggests to a user the best location to move to for obtaining a satisfactory quality of service level, when the controlling access point of its current location becomes congested. The system monitors the traffic and user location across the network, and formulates the appropriate relocation proposal urging specific users to move to better locations at reasonable distances. Two enhancements to the basic MITOS system are introduced for maintaining an almost uniform load level across the considered infrastructure: the first uses microeconomic concepts, while the second borrows game theoretic mechanisms from the Santa Fe Bar problem. Simulation results on the efficiency of the proposed schemes are provided.

Journal

ACM Transactions on Autonomous and Adaptive Systems (TAAS)Association for Computing Machinery

Published: May 1, 2009

References