Authors: Mirjami Jutila; Tapio Frantti
Addresses: VTT Technical Research Centre of Finland, Kaitoväylä 1, 90571 Oulu, Finland ' Finnish Research and Engineering, FRE, Oulunseläntie 1, 90580 Oulu, Finland
Abstract: This paper presents fuzzy set theory-based cognitive control system for IEEE 802.11b wireless local area networks (WLANs). 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 weighted fair queueing (WFQ) 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.
Keywords: quality of service; QoS; queueing; scheduling; packet size control; fuzzy control; expert system; fuzzy weighted queueing; FWQ; weighted fair queueing; WFQ.
International Journal of Autonomous and Adaptive Communications Systems, 2018 Vol.11 No.2, pp.154 - 170
Received: 19 Dec 2015
Accepted: 13 May 2016
Published online: 30 May 2018 *