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Fuzzy logic-based performance improvement on MAC layer in wireless local area networks

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Abstract

There are many studies that have been done to improve the quality of service of wireless local area networks (WLANs). Institute of Electrical and Electronic Engineers (IEEE) WLAN are based on IEEE 802.11 protocol. The 802.11e medium access control (MAC) protocol is generally recommended for efficient quality of service in WLANs. There are many parameters in the MAC protocol that affect quality of services. Among these parameters, request to send threshold value (RSTV), fragmentation threshold value (FTV) and buffer size (BS) directly affect network performance. RSTV is used in the request to send/clear to send (RTS/CTS) mechanism in the carrier sense multiple access with collision avoidance (CSMA/CA) protocol for collision prevention. This parameter specifies the threshold used to activate the CSMA/CA protocol. FTV is another parameter that is used to send large-sized packets by dividing them into appropriate fragments during CSMA/CA transmission and reduces packet loss in WLAN. BS is another parameter that has a significant cost in the CSMA/CA model and also directly affects the performance. In this article, to improve the performance of WLANs, OPNET Modeler was used and ideal values were obtained for RSTV, FTV and BS by using fuzzy logic-based method. The values obtained by fuzzy logic were re-tested in OPNET Modeler, and the achieved improvement was as follows: for delay 36–38%, for load 2–10% and for throughput 25–44%, respectively. Thus, in WLANs, performance was improved by using fuzzy logic-based method.

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Abbreviations

QoS:

Quality of service

WLANs:

Wireless local area networks

MAC:

Medium access control

RSTV:

Request to send threshold value

FTV:

Fragmentation threshold value

BS:

Buffer size

RTS/CTS:

Request to send/clear to send

CSMA/CA:

Carrier sense multiple access with collision avoidance

DCF:

Distributed coordination function

VoIP:

Voice over internet protocol

AP:

Access point

SIFS:

Short interframe space

NAV:

Network allocation vector

ACK:

Acknowledgment

DIFS:

Distribution interframe space

SIFS:

Short interframe space

ANN:

Artificial neural network

PSO:

Particle swarm optimization

GA:

Genetic algorithm

BDP:

Bandwidth-delay product

S:

Short

N:

Normal

L:

Long

SM:

Small

LR:

Large

VL:

Very long

VS:

Very short

f D :

Delay

f L :

Load

f T :

Throughput

m :

RSTV (byte)

n :

FTV (byte)

k :

BS (bits)

x :

Other mandatory inputs

e :

Euler number

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Authors and Affiliations

  1. Computer Engineering Department, Faculty of Technology, Gazi University, Ankara, Turkey

    Cemal Kocak

  2. Institute of Science, Faculty of Technology, Gazi University, Ankara, Turkey

    Hacı Bayram Karakurt

Authors
  1. Cemal Kocak
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  2. Hacı Bayram Karakurt
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Correspondence to Cemal Kocak.

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Kocak, C., Karakurt, H.B. Fuzzy logic-based performance improvement on MAC layer in wireless local area networks. Neural Comput & Applic 31, 6113–6128 (2019). https://doi.org/10.1007/s00521-018-3429-x

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  • DOI: https://doi.org/10.1007/s00521-018-3429-x

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