Increasing quality of service in wireless local area networks through fuzzy logic based feedback control method

Karakurt H. B., KOÇAK C.

Wireless Networks, cilt.29, sa.5, ss.2217-2233, 2023 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 29 Sayı: 5
  • Basım Tarihi: 2023
  • Doi Numarası: 10.1007/s11276-023-03293-w
  • Dergi Adı: Wireless Networks
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, PASCAL, ABI/INFORM, Aerospace Database, Applied Science & Technology Source, Communication Abstracts, Compendex, Computer & Applied Sciences, INSPEC, Metadex, zbMATH, Civil Engineering Abstracts
  • Sayfa Sayıları: ss.2217-2233
  • Anahtar Kelimeler: Fuzzy logic, WLAN, Request to send threshold value, Fragmentation threshold value, Buffer size, Feedback control
  • Gazi Üniversitesi Adresli: Evet

Özet

In many studies aimed at improving the quality of service (QoS) in wireless local area networks (WLAN), the performance was improved by applying non-ACK model, physical interference model, analytical models etc. with using optimization algorithms with stable simulations. For efficient QoS in WLANs, performance is generally increased using 802.11n medium access control protocol through request to send threshold value (RSTV), fragmentation threshold value (FTV) and buffer size (BS) parameters. While the RSTV activates the request to send/clear to send (RTS/CTS) mechanism in carrier sense multiple access with collision avoidance (CSMA/CA) protocol, FTV fragments the larger packets during CSMA/CA transmission, reducing the packet loss in WLANs. BS, however, is the memory used in the CSMA/CA model to reduce cost. In previous studies, most of the new model applied in process layers by using Riverbed Modeler simulation tool and ideal input values had been obtained for RSTV, FTV and BS during the simulation stable. In this study, a new model proposed for CSMA/CA protocol on the process layers which used feedback controlled method with fuzzy logic to improve QoS during the simulation. Values obtained with nearly six million different test results, has been revealed that throughput was increased by 26.48%, the channel utilization by 2.30%, the data traffic received by 14.59% and the data traffic sent by 17.06% respectively. While RSTV, FTV and BS input parameters are optimized with the help of the feedback controlled algorithm used in these studies, the effects of external parameters such as number of nodes, inter-arrival time, transmitting power etc. on the performance improvements in the model are demonstrated in graphics. All these test results have shown that the new model provides a high rate of performance improvement for WLANs.