Access Channel Selection for WLAN using Fuzzy Expert System

 
 
 
  • Abstract
  • Keywords
  • References
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  • Abstract


    The tremendous increase in user demands for multimedia applications with its various quality of service (QoS) requirements has become essential for the operators to accommodate the demand for real-time services in IEEE 802.11 WLAN network. Scheduling mechanism is one of the challenging issues still open for research to fully support the various QoS requirements. In this paper, scheduling scheme is proposed to manage the channel access parameter between competitive nodes. An embedded fuzzy expert system is used to dynamically allocation these parameters to the competitive stations. The simulation results show that the proposed algorithm manages to optimize the overall system utilization.

     

     


  • Keywords


    x EDCA parameters, Frame Aggregation, IEEE 802.11n, fuzzy expert system

  • References


      [1] Wang, P. 2008 “A token-based scheduling scheme for WLANs supporting voice/data traffic and its performance analysis,” Wireless Communications, IEEE Transactions on, vol. 7, no. 5, pp. 1708-1718.

      [2] Xiao,Y , 2005 “Performance analysis of priority schemes for IEEE 802.11 and IEEE 802.11 e wireless LANs,” Wireless Communications, IEEE Transactions on, vol. 4, no. 4, pp. 1506-1515.

      [3] Malli, M, Q."Adaptive fair channel allocation for QoS enhancement in IEEE 802.11 wireless LANs." pp. 3470-3475.

      [4] Maqhat, B, 2016. Adaptive Packet Scheduling Scheme Based on Network Conditions in WLAN Using Fuzzy System. In Theory and Applications of Applied Electromagnetics. Springer.

      [5] Maqhat, B. 2016"Adaptive Bandwidth Allocation and Latency Guarantee for WLAN Networks using Fuzzy Logic Control". International Journal of Control Theory and Application, I JCTA, 9(9), 2016, pp. 3015-3027.

      [6] Choi, S. 2003, "IEEE802.11e contention-based channel access (EDCF) performance evaluation.",. ICC'03. IEEEInternational Conference on Communications pp. 1151-1156.

      [7] Baba, M. 2014, “Scheduler algorithm for IEEE802. 11n wireless LANs,” International Journal of Future Computer and Communication, vol. 3, no. 4, pp. 222, 2014

      [8] Saif, A. “SRA-MSDU: Enhanced A-MSDU frame aggregation with selective retransmission in 802.11 n wireless networks,” Journal of Network and Computer Applications, vol. 36, no. 4, pp. 1219-1229, 2013.

      [9] Driankov, D. 2013 An introduction to fuzzy control: Springer Science & Business Media.

      [10] King, P, 1977 “The application of fuzzy control systems to industrial processes,” Automatica, vol. 13, no. 3, pp. 235-242, 1977.


 

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Article ID: 16202
 
DOI: 10.14419/ijet.v7i3.7.16202




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