Cognitive selection mechanism performance in IEEE 802.11 WLAN

Recent growth in Wireless Local Area Network (WLAN) usage has generated considerable interest in the establishment of the IEEE 802.11 WLAN standards. WLAN has been developed with the capability to handle tremendous growth of data traffic and therefore have been proliferating worldwide. The infl...

Full description

Bibliographic Details
Main Authors:	Hashim, Wahidah, Ismail, Ahmad Fadzil, Ghafar, Nadratul, Dzulkifly, Sumayyah
Format:	Article
Language:	English
Published:	International Association of Computer Science and Information Technology Press 2013
Subjects:	T Technology (General)
Online Access:	http://irep.iium.edu.my/35629/ http://irep.iium.edu.my/35629/ http://irep.iium.edu.my/35629/ http://irep.iium.edu.my/35629/2/aliah_j.pdf

id	iium-35629
recordtype	eprints
spelling	iium-356292014-07-22T03:46:40Z http://irep.iium.edu.my/35629/ Cognitive selection mechanism performance in IEEE 802.11 WLAN Hashim, Wahidah Ismail, Ahmad Fadzil Ghafar, Nadratul Dzulkifly, Sumayyah T Technology (General) Recent growth in Wireless Local Area Network (WLAN) usage has generated considerable interest in the establishment of the IEEE 802.11 WLAN standards. WLAN has been developed with the capability to handle tremendous growth of data traffic and therefore have been proliferating worldwide. The influencing factors and the parameters involved prior choosing which access point (AP) to connect with are to be carefully evaluated and dealt with in the process of WLAN deployment. Properly designed selection mechanisms that able to provide not only radio coverage but also a good internet connection speed are in turn expected to be able to improve the Quality of Service (QoS). In this paper, a new approach for the AP selection in IEEE 802.11 is proposed. The new technique takes into account internet connection speed in contrast to the classic approach that solely based on the Received Signal Strength (RSS). A heuristic selection model was developed namely Evaluative AP Selection which used LINUX Bash script programming whilst the internet connection speed test was ran by means of PHP script. The results for the selection were evaluated respectively to see the variation in selection pattern when compared to the default selection algorithm. The time interval during the scanning and selection process was also analysed in the investigation to further identify the performance of the model. The enhancement reaped from the developed selection algorithm is expected to bring benefit to different user at various places International Association of Computer Science and Information Technology Press 2013-07 Article PeerReviewed application/pdf en http://irep.iium.edu.my/35629/2/aliah_j.pdf Hashim, Wahidah and Ismail, Ahmad Fadzil and Ghafar, Nadratul and Dzulkifly, Sumayyah (2013) Cognitive selection mechanism performance in IEEE 802.11 WLAN. International Journal of Computer and Communication Engineering, 2 (4). pp. 477-481. ISSN 2010-3743 http://www.ijcce.org/index.php?m=content&c=index&a=show&catid=32&id=250 10.7763/IJCCE.2013.V2.230
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	T Technology (General)
spellingShingle	T Technology (General) Hashim, Wahidah Ismail, Ahmad Fadzil Ghafar, Nadratul Dzulkifly, Sumayyah Cognitive selection mechanism performance in IEEE 802.11 WLAN
description	Recent growth in Wireless Local Area Network (WLAN) usage has generated considerable interest in the establishment of the IEEE 802.11 WLAN standards. WLAN has been developed with the capability to handle tremendous growth of data traffic and therefore have been proliferating worldwide. The influencing factors and the parameters involved prior choosing which access point (AP) to connect with are to be carefully evaluated and dealt with in the process of WLAN deployment. Properly designed selection mechanisms that able to provide not only radio coverage but also a good internet connection speed are in turn expected to be able to improve the Quality of Service (QoS). In this paper, a new approach for the AP selection in IEEE 802.11 is proposed. The new technique takes into account internet connection speed in contrast to the classic approach that solely based on the Received Signal Strength (RSS). A heuristic selection model was developed namely Evaluative AP Selection which used LINUX Bash script programming whilst the internet connection speed test was ran by means of PHP script. The results for the selection were evaluated respectively to see the variation in selection pattern when compared to the default selection algorithm. The time interval during the scanning and selection process was also analysed in the investigation to further identify the performance of the model. The enhancement reaped from the developed selection algorithm is expected to bring benefit to different user at various places
format	Article
author	Hashim, Wahidah Ismail, Ahmad Fadzil Ghafar, Nadratul Dzulkifly, Sumayyah
author_facet	Hashim, Wahidah Ismail, Ahmad Fadzil Ghafar, Nadratul Dzulkifly, Sumayyah
author_sort	Hashim, Wahidah
title	Cognitive selection mechanism performance in IEEE 802.11 WLAN
title_short	Cognitive selection mechanism performance in IEEE 802.11 WLAN
title_full	Cognitive selection mechanism performance in IEEE 802.11 WLAN
title_fullStr	Cognitive selection mechanism performance in IEEE 802.11 WLAN
title_full_unstemmed	Cognitive selection mechanism performance in IEEE 802.11 WLAN
title_sort	cognitive selection mechanism performance in ieee 802.11 wlan
publisher	International Association of Computer Science and Information Technology Press
publishDate	2013
url	http://irep.iium.edu.my/35629/ http://irep.iium.edu.my/35629/ http://irep.iium.edu.my/35629/ http://irep.iium.edu.my/35629/2/aliah_j.pdf
first_indexed	2023-09-18T20:51:04Z
last_indexed	2023-09-18T20:51:04Z
_version_	1777409997171326976

Cognitive selection mechanism performance in IEEE 802.11 WLAN

Similar Items