Least congested channel recommendation for uncoordinated WiFi access point / Ag Ibrahim Ag Daud

When Telekom Malaysia (TM) introduces Wi-Fi residential gateway to its broadband customer, TM faces the issues of Wi-Fi signal strength and Wi-Fi network performance. The convenience of wireless connectivity has increased the usage of wireless devices such as mobile phone, smart TV, tablet, wireless...

Full description

Saved in:

Bibliographic Details
Main Author:	Ag Daud, Ag Ibrahim
Format:	Thesis
Language:	English
Published:	2017
Subjects:	Wireless Internet
Online Access:	https://ir.uitm.edu.my/id/eprint/66059/1/66059.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-uitm-ir.66059
record_format	uketd_dc
spelling	my-uitm-ir.660592022-09-13T07:46:35Z Least congested channel recommendation for uncoordinated WiFi access point / Ag Ibrahim Ag Daud 2017 Ag Daud, Ag Ibrahim Wireless Internet When Telekom Malaysia (TM) introduces Wi-Fi residential gateway to its broadband customer, TM faces the issues of Wi-Fi signal strength and Wi-Fi network performance. The convenience of wireless connectivity has increased the usage of wireless devices such as mobile phone, smart TV, tablet, wireless speaker and CCTV. The problems with wireless residential gateway arise when there is multiple access point nearby which potentially reduce the Wi-Fi network performance. These access points can cause signal interference between access points if the selected channel are the same or overlapping. Even when the signal strength is high, interference from other nearby access points that uses overlapping channel or same channel can cause degraded network performance. This congested environment is not conducive for Wi Fi connectivity and degrades the Wi-Fi performance in term of data transmission. This research, propose a new algorithm to find the least congested channel for WiFi environment to minimize the incidence of congestion-on WiFi access point (AP). This study has design channel scoring algorithm using Link Score Method, whereby the channel with the highest score were selected as least congested channel (LCC). There are five main aspects used as an input in calculating the Link Score. The five are the channel priority, RSSI, adjacent-channel, co-channel and weighted parameters. The algorithm can run on client devices such as wireless laptop, tablet and mobile phone. Once the algorithm suggested the least congested channel, TM customer shall be able to switch to the channel and expect this will reduce the signal interference and increase network performance. Testing results shows that the new algorithm are able to find least congested channel and suggested better channel compared to auto channel selection implemented by ten different access point model use in this study. All ten access point model used in the experiment are currently supplied by TM to the customers. 2017 Thesis https://ir.uitm.edu.my/id/eprint/66059/ https://ir.uitm.edu.my/id/eprint/66059/1/66059.pdf text en public masters Universiti Teknologi MARA (UiTM) Faculty of Computer and Mathematical Sciences Gian Singh, Jasber Kaur
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Gian Singh, Jasber Kaur
topic	Wireless Internet
spellingShingle	Wireless Internet Ag Daud, Ag Ibrahim Least congested channel recommendation for uncoordinated WiFi access point / Ag Ibrahim Ag Daud
description	When Telekom Malaysia (TM) introduces Wi-Fi residential gateway to its broadband customer, TM faces the issues of Wi-Fi signal strength and Wi-Fi network performance. The convenience of wireless connectivity has increased the usage of wireless devices such as mobile phone, smart TV, tablet, wireless speaker and CCTV. The problems with wireless residential gateway arise when there is multiple access point nearby which potentially reduce the Wi-Fi network performance. These access points can cause signal interference between access points if the selected channel are the same or overlapping. Even when the signal strength is high, interference from other nearby access points that uses overlapping channel or same channel can cause degraded network performance. This congested environment is not conducive for Wi Fi connectivity and degrades the Wi-Fi performance in term of data transmission. This research, propose a new algorithm to find the least congested channel for WiFi environment to minimize the incidence of congestion-on WiFi access point (AP). This study has design channel scoring algorithm using Link Score Method, whereby the channel with the highest score were selected as least congested channel (LCC). There are five main aspects used as an input in calculating the Link Score. The five are the channel priority, RSSI, adjacent-channel, co-channel and weighted parameters. The algorithm can run on client devices such as wireless laptop, tablet and mobile phone. Once the algorithm suggested the least congested channel, TM customer shall be able to switch to the channel and expect this will reduce the signal interference and increase network performance. Testing results shows that the new algorithm are able to find least congested channel and suggested better channel compared to auto channel selection implemented by ten different access point model use in this study. All ten access point model used in the experiment are currently supplied by TM to the customers.
format	Thesis
qualification_level	Master's degree
author	Ag Daud, Ag Ibrahim
author_facet	Ag Daud, Ag Ibrahim
author_sort	Ag Daud, Ag Ibrahim
title	Least congested channel recommendation for uncoordinated WiFi access point / Ag Ibrahim Ag Daud
title_short	Least congested channel recommendation for uncoordinated WiFi access point / Ag Ibrahim Ag Daud
title_full	Least congested channel recommendation for uncoordinated WiFi access point / Ag Ibrahim Ag Daud
title_fullStr	Least congested channel recommendation for uncoordinated WiFi access point / Ag Ibrahim Ag Daud
title_full_unstemmed	Least congested channel recommendation for uncoordinated WiFi access point / Ag Ibrahim Ag Daud
title_sort	least congested channel recommendation for uncoordinated wifi access point / ag ibrahim ag daud
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2017
url	https://ir.uitm.edu.my/id/eprint/66059/1/66059.pdf
_version_	1783735600673718272

Least congested channel recommendation for uncoordinated WiFi access point / Ag Ibrahim Ag Daud

Similar Items