Congestion analysis in Wi-Fi network of Engineering Tower (2) due to overloading of traffic / Nur Fariha Zulkifli
This project researched on the congestion analysis in Wi-Fi network of Engineering Tower 2 due to overloading of traffic. The objectives proposed by the project are to study and understand the concept of Wi-Fi network, congestion and overloading in Wi-Fi network. The project also discussed about the...
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2014
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my.uitm.ir.817262023-11-09T09:49:01Z https://ir.uitm.edu.my/id/eprint/81726/ Congestion analysis in Wi-Fi network of Engineering Tower (2) due to overloading of traffic / Nur Fariha Zulkifli Zulkifli, Nur Fariha This project researched on the congestion analysis in Wi-Fi network of Engineering Tower 2 due to overloading of traffic. The objectives proposed by the project are to study and understand the concept of Wi-Fi network, congestion and overloading in Wi-Fi network. The project also discussed about the factors that led to congestion in Wi-Fi networks and solutions to overcome them. Wi-Fi mapping tool 'Ekahau Heat Mapper' and network scanner software named 'inSSIDer' were used to collect the data. Data collecting process were done at Level 11, Engineering Tower 2 for three selected Access Points (APs) at selected locations during noon, evening and night for five days. It was then analyzed and results were plotted using MATLAB and Microsoft Excel for better illustration and understanding. The research and analyzing process only covers and concentrate on congestion of Wi-Fi network in Engineering Tower 2 within the use of the 2.4GHz frequency that were deployed for wireless networks in Malaysia because most devices can operate on that band. 2014 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/81726/1/81726.pdf Congestion analysis in Wi-Fi network of Engineering Tower (2) due to overloading of traffic / Nur Fariha Zulkifli. (2014) Degree thesis, thesis, Universiti Teknologi MARA (UiTM). |
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This project researched on the congestion analysis in Wi-Fi network of Engineering Tower 2 due to overloading of traffic. The objectives proposed by the project are to study and understand the concept of Wi-Fi network, congestion and overloading in Wi-Fi network. The project also discussed about the factors that led to congestion in Wi-Fi networks and solutions to overcome them. Wi-Fi mapping tool 'Ekahau Heat Mapper' and network scanner software named 'inSSIDer' were used to collect the data. Data collecting process were done at Level 11, Engineering Tower 2 for three selected Access Points (APs) at selected locations during noon, evening and night for five days. It was then analyzed and results were plotted using MATLAB and Microsoft Excel for better illustration and understanding. The research and analyzing process only covers and concentrate on congestion of Wi-Fi network in Engineering Tower 2 within the use of the 2.4GHz frequency that were deployed for wireless networks in Malaysia because most devices can operate on that band. |
format |
Thesis |
author |
Zulkifli, Nur Fariha |
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Zulkifli, Nur Fariha Congestion analysis in Wi-Fi network of Engineering Tower (2) due to overloading of traffic / Nur Fariha Zulkifli |
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Zulkifli, Nur Fariha |
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Zulkifli, Nur Fariha |
title |
Congestion analysis in Wi-Fi network of Engineering Tower (2) due to overloading of traffic / Nur Fariha Zulkifli |
title_short |
Congestion analysis in Wi-Fi network of Engineering Tower (2) due to overloading of traffic / Nur Fariha Zulkifli |
title_full |
Congestion analysis in Wi-Fi network of Engineering Tower (2) due to overloading of traffic / Nur Fariha Zulkifli |
title_fullStr |
Congestion analysis in Wi-Fi network of Engineering Tower (2) due to overloading of traffic / Nur Fariha Zulkifli |
title_full_unstemmed |
Congestion analysis in Wi-Fi network of Engineering Tower (2) due to overloading of traffic / Nur Fariha Zulkifli |
title_sort |
congestion analysis in wi-fi network of engineering tower (2) due to overloading of traffic / nur fariha zulkifli |
publishDate |
2014 |
url |
https://ir.uitm.edu.my/id/eprint/81726/1/81726.pdf https://ir.uitm.edu.my/id/eprint/81726/ |
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1783882193322377216 |
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13.211869 |