Abstract
To resolve the problems of load imbalance and performance anomaly which lead to the increase of packet transmission delay, the waste of limited bandwidth resources and the decline of network performance, a categorized AP association algorithm based on the demands of users is proposed in this paper, which uses AP (Access Point) association control to achieve fairness and load balancing and can support various traffic businesses. Furthermore, a dynamic AP handoff based on load-balancing algorithm is presented to cope with the clients of gusty traffic, which can balance the network load with minimal AP handoff. Analysis and simulation results show that the proposed scheme obtains significant performance in terms of AP utilization, and it improves system throughput by 29.8% compared with the SSF algorithm in terms of throughput under different user densities.
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Acknowledgments
This research is supported by Program for Innovation Team Building at Institutions of Higher Education in Chongqing (CXTDX201601021), Fundamental and Advanced Research Project of Chongqing Municipal (cstc2016jcyjA2213) and Scientific and Technological Research Program of Chongqing Municipal Education Commission (KJ1500439).
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Lei, J., Yang, S., Su, C. (2017). Fairness and Load Balancing Optimization via Association Control in Multi-rate WLANs. In: Silhavy, R., Silhavy, P., Prokopova, Z., Senkerik, R., Kominkova Oplatkova, Z. (eds) Software Engineering Trends and Techniques in Intelligent Systems. CSOC 2017. Advances in Intelligent Systems and Computing, vol 575. Springer, Cham. https://doi.org/10.1007/978-3-319-57141-6_28
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DOI: https://doi.org/10.1007/978-3-319-57141-6_28
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