Cognitive fuzzy flow control for wireless routers

Mirjami Jutila, Tapio Frantti

    Research output: Contribution to journalArticleScientificpeer-review


    This paper presents fuzzy set theory based cognitive control system for IEEE 802.11b WLANs (Wireless Local Area Networks). Developed Fuzzy Weighted Queueing (FWQ) method anticipates required changes on weight coefficients with optimal packet sizes for adaptive flow control. Traffic flows are scheduled for prevailing traffic level on WLAN based router. The algorithm determines the amount of allowed bandwidth for each service class in the outputs of wireless router anticipating the application dependent delay and packet loss rate. It is shown through simulations that the developed FWQ model is also more stable and reacts faster to different traffic states than drop-tail or WFQ (Weighted Fair Queueing) schedulers that were used here as comparative methods. Delay times and packet loss rates of the FWQ algorithm were lower than drop-tail's or WFQ's respective values with different amounts of background traffic.
    Original languageEnglish
    Pages (from-to)154-170
    Number of pages17
    JournalInternational Journal of Autonomous and Adaptive Communications Systems
    Issue number2
    Early online date2016
    Publication statusPublished - 30 May 2018
    MoE publication typeA1 Journal article-refereed


    • QoS
    • queueing
    • scheduling
    • packet size control
    • fuzzy control
    • expert system
    • FWQ
    • WFQ


    Dive into the research topics of 'Cognitive fuzzy flow control for wireless routers'. Together they form a unique fingerprint.

    Cite this