A fuzzy logic approach for Quality of Service quantification in wireless and mobile networks

Farnaz Farid; Seyed Shahrestani; Chun Ruan

doi:10.1109/LCNW.2014.6927713

A fuzzy logic approach for Quality of Service quantification in wireless and mobile networks

Farnaz Farid, Seyed Shahrestani, Chun Ruan

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

6 Citations (Scopus)

Abstract

![CDATA[This paper proposes a methodical approach to improve the Quality of Service (QoS) evaluation in wireless and mobile networks. The approach uses the fuzzy logic tools and techniques to map the traditional QoS parameters into a unified value to quantify the QoS levels of these networks. Extensive simulation studies are conducted to examine the effectiveness of this method. The results show that our adopted method is capable of improving the quantification of QoS level for both homogeneous and heterogeneous networks. It also outperforms the Multiple Attribute Decision Making (MADM) based QoS evaluation method that applies Multi Fuzzy Analytical Hierarchy Process (FAHP) with Simple Additive Weighting (SAW) algorithm.]]

Original language	English
Title of host publication	Proceedings of the 39th Annual IEEE Conference on Local Computer Networks (LCN 2014), Edmonton, Canada, 8-11 September 2014
Publisher	IEEE
Pages	629-636
Number of pages	8
ISBN (Print)	9781479937844
DOIs	https://doi.org/10.1109/LCNW.2014.6927713
Publication status	Published - 2014
Event	Conference on Local Computer Networks - Duration: 8 Sept 2014 → …

Conference

Conference	Conference on Local Computer Networks
Period	8/09/14 → …

Keywords

fuzzy logic
mobile communication systems
wireless communication systems

Access to Document

10.1109/LCNW.2014.6927713

Cite this

@inproceedings{5c3fa91ccddc4d9ba178ca46a1df3610,

title = "A fuzzy logic approach for Quality of Service quantification in wireless and mobile networks",

abstract = "![CDATA[This paper proposes a methodical approach to improve the Quality of Service (QoS) evaluation in wireless and mobile networks. The approach uses the fuzzy logic tools and techniques to map the traditional QoS parameters into a unified value to quantify the QoS levels of these networks. Extensive simulation studies are conducted to examine the effectiveness of this method. The results show that our adopted method is capable of improving the quantification of QoS level for both homogeneous and heterogeneous networks. It also outperforms the Multiple Attribute Decision Making (MADM) based QoS evaluation method that applies Multi Fuzzy Analytical Hierarchy Process (FAHP) with Simple Additive Weighting (SAW) algorithm.]]",

keywords = "fuzzy logic, mobile communication systems, wireless communication systems",

author = "Farnaz Farid and Seyed Shahrestani and Chun Ruan",

year = "2014",

doi = "10.1109/LCNW.2014.6927713",

language = "English",

isbn = "9781479937844",

pages = "629--636",

booktitle = "Proceedings of the 39th Annual IEEE Conference on Local Computer Networks (LCN 2014), Edmonton, Canada, 8-11 September 2014",

publisher = "IEEE",

note = "Conference on Local Computer Networks ; Conference date: 08-09-2014",

}

Farid, F , Shahrestani, S & Ruan, C 2014, A fuzzy logic approach for Quality of Service quantification in wireless and mobile networks. in Proceedings of the 39th Annual IEEE Conference on Local Computer Networks (LCN 2014), Edmonton, Canada, 8-11 September 2014. IEEE, pp. 629-636, Conference on Local Computer Networks, 8/09/14. https://doi.org/10.1109/LCNW.2014.6927713

A fuzzy logic approach for Quality of Service quantification in wireless and mobile networks. / Farid, Farnaz ; Shahrestani, Seyed ; Ruan, Chun.
Proceedings of the 39th Annual IEEE Conference on Local Computer Networks (LCN 2014), Edmonton, Canada, 8-11 September 2014. IEEE, 2014. p. 629-636.

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

TY - GEN

T1 - A fuzzy logic approach for Quality of Service quantification in wireless and mobile networks

AU - Farid, Farnaz

AU - Shahrestani, Seyed

AU - Ruan, Chun

PY - 2014

Y1 - 2014

N2 - ![CDATA[This paper proposes a methodical approach to improve the Quality of Service (QoS) evaluation in wireless and mobile networks. The approach uses the fuzzy logic tools and techniques to map the traditional QoS parameters into a unified value to quantify the QoS levels of these networks. Extensive simulation studies are conducted to examine the effectiveness of this method. The results show that our adopted method is capable of improving the quantification of QoS level for both homogeneous and heterogeneous networks. It also outperforms the Multiple Attribute Decision Making (MADM) based QoS evaluation method that applies Multi Fuzzy Analytical Hierarchy Process (FAHP) with Simple Additive Weighting (SAW) algorithm.]]

AB - ![CDATA[This paper proposes a methodical approach to improve the Quality of Service (QoS) evaluation in wireless and mobile networks. The approach uses the fuzzy logic tools and techniques to map the traditional QoS parameters into a unified value to quantify the QoS levels of these networks. Extensive simulation studies are conducted to examine the effectiveness of this method. The results show that our adopted method is capable of improving the quantification of QoS level for both homogeneous and heterogeneous networks. It also outperforms the Multiple Attribute Decision Making (MADM) based QoS evaluation method that applies Multi Fuzzy Analytical Hierarchy Process (FAHP) with Simple Additive Weighting (SAW) algorithm.]]

KW - fuzzy logic

KW - mobile communication systems

KW - wireless communication systems

UR - http://handle.uws.edu.au:8081/1959.7/565253

UR - http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6916489

U2 - 10.1109/LCNW.2014.6927713

DO - 10.1109/LCNW.2014.6927713

M3 - Conference Paper

SN - 9781479937844

SP - 629

EP - 636

BT - Proceedings of the 39th Annual IEEE Conference on Local Computer Networks (LCN 2014), Edmonton, Canada, 8-11 September 2014

PB - IEEE

T2 - Conference on Local Computer Networks

Y2 - 8 September 2014

ER -

A fuzzy logic approach for Quality of Service quantification in wireless and mobile networks

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