Competitive routing in multiuser communication networks
IEEE/ACM Transactions on Networking (TON)
Analysis of a local-area wireless network
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
A game theoretic framework for bandwidth allocation and pricing in broadband networks
IEEE/ACM Transactions on Networking (TON)
Characterizing user behavior and network performance in a public wireless LAN
SIGMETRICS '02 Proceedings of the 2002 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Analysis of a campus-wide wireless network
Proceedings of the 8th annual international conference on Mobile computing and networking
A Probabilistic Room Location Service for Wireless Networked Environments
UbiComp '01 Proceedings of the 3rd international conference on Ubiquitous Computing
Dispersion games: general definitions and some specific learning results
Eighteenth national conference on Artificial intelligence
Hot-Spot Congestion Relief in Public-Area Wireless Networks
WMCSA '02 Proceedings of the Fourth IEEE Workshop on Mobile Computing Systems and Applications
Heterogeneity, Stability, and Efficiency in Distributed Systems
ICMAS '98 Proceedings of the 3rd International Conference on Multi Agent Systems
A Distributed Reinforcement Learning Scheme for Network Routing
A Distributed Reinforcement Learning Scheme for Network Routing
Location Based Services
Bayesian Filtering for Location Estimation
IEEE Pervasive Computing
Autonomous mobile agent routing for efficient server resource allocation
Journal of Systems and Software
A foundation of demand-side resource management in distributed systems
Transactions on computational science VIII
A foundation of demand-side resource management in distributed systems
Transactions on computational science VIII
Computers and Electrical Engineering
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An overlay smart spaces system, called MITOS, is proposed for managing the use of the resources in wireless local area networks (WLAN). MITOS monitors the traffic load distribution in the different WLAN segments, as well as the location of each user, and when necessary, suggests to specific users to change their location in order to improve their quality of service. Enhancements to the basic MITOS architecture are introduced to intelligently manage local congestion, and maintain an almost uniform load level across the network. The approach used for load balancing is based on game theoretic mechanisms, such as the solutions to the Santa Fe Bar Problem. Simulation results are provided showing the efficiency of the proposed system.