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VoIP analysis performance of quality of service in converged networks / Ali Emran Ngatenan @ Adnan

One of the most common applications in use on converged networks today is Voice over Internet Protocol or VoIP. VoIP allows for much more flexibility in handling multiple calls simultaneously and also helps companies save money by providing additional telephony services like three-way calling and ca...

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Main Author: Ngatenan @ Adnan, Ali Emran
Format: Thesis
Language:English
Published: 2012
Subjects:
Indexes (General)
Online Access:https://ir.uitm.edu.my/id/eprint/68358/1/68358.pdf
https://ir.uitm.edu.my/id/eprint/68358/
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spelling my.uitm.ir.683582022-11-03T08:06:37Z https://ir.uitm.edu.my/id/eprint/68358/ VoIP analysis performance of quality of service in converged networks / Ali Emran Ngatenan @ Adnan Ngatenan @ Adnan, Ali Emran Indexes (General) One of the most common applications in use on converged networks today is Voice over Internet Protocol or VoIP. VoIP allows for much more flexibility in handling multiple calls simultaneously and also helps companies save money by providing additional telephony services like three-way calling and call-forwarding without the company having to pay for them individually. The most key requirement for successful VoIP communications is a quality of service (QoS). Voice communications require networks with very low call delay, low jitter, higher MOS-LQ and minimal packet loss. This thesis briefly describes performance of QoS in converged Networks environment in which many infrastructure WLANs are deployed in the same geographical area. The following method is use; firstly is to undertake a fundamental investigation to quantify the impact of traffic prioritization on perceived VoIP. Secondly to apply the results to develop efficient traffic prioritization model to benefit end to end voice quality for VoIP applications. Thirdly, to apply the developed models in voice quality monitoring, voice quality optomization (e.g jitter, delay and packet loss optimization) to meet The Mean Opinion Score- Listening Quality (MOS-LQ). Finally, based on the experiment gained in VoIP simulation testing in converged networks, traffic prioritization modelling can be good tool for predicting the voice and video quality in the VoIP networks. The VoIP simulator models the network and predicts the performance given by the traffic load. Finally, it is learned that traffic priotization gives IP providers a preemptive oppurtunity to maintain quality by increasing bandwidth, performing load balancing and rerouting traffics. This will ensure their ability to deliver consistent and excellent voice quality to users. 2012 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/68358/1/68358.pdf VoIP analysis performance of quality of service in converged networks / Ali Emran Ngatenan @ Adnan. (2012) Masters thesis, thesis, Universiti Teknologi MARA (UiTM).
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Indexes (General)
spellingShingle Indexes (General)
Ngatenan @ Adnan, Ali Emran
VoIP analysis performance of quality of service in converged networks / Ali Emran Ngatenan @ Adnan
description One of the most common applications in use on converged networks today is Voice over Internet Protocol or VoIP. VoIP allows for much more flexibility in handling multiple calls simultaneously and also helps companies save money by providing additional telephony services like three-way calling and call-forwarding without the company having to pay for them individually. The most key requirement for successful VoIP communications is a quality of service (QoS). Voice communications require networks with very low call delay, low jitter, higher MOS-LQ and minimal packet loss. This thesis briefly describes performance of QoS in converged Networks environment in which many infrastructure WLANs are deployed in the same geographical area. The following method is use; firstly is to undertake a fundamental investigation to quantify the impact of traffic prioritization on perceived VoIP. Secondly to apply the results to develop efficient traffic prioritization model to benefit end to end voice quality for VoIP applications. Thirdly, to apply the developed models in voice quality monitoring, voice quality optomization (e.g jitter, delay and packet loss optimization) to meet The Mean Opinion Score- Listening Quality (MOS-LQ). Finally, based on the experiment gained in VoIP simulation testing in converged networks, traffic prioritization modelling can be good tool for predicting the voice and video quality in the VoIP networks. The VoIP simulator models the network and predicts the performance given by the traffic load. Finally, it is learned that traffic priotization gives IP providers a preemptive oppurtunity to maintain quality by increasing bandwidth, performing load balancing and rerouting traffics. This will ensure their ability to deliver consistent and excellent voice quality to users.
format Thesis
author Ngatenan @ Adnan, Ali Emran
author_facet Ngatenan @ Adnan, Ali Emran
author_sort Ngatenan @ Adnan, Ali Emran
title VoIP analysis performance of quality of service in converged networks / Ali Emran Ngatenan @ Adnan
title_short VoIP analysis performance of quality of service in converged networks / Ali Emran Ngatenan @ Adnan
title_full VoIP analysis performance of quality of service in converged networks / Ali Emran Ngatenan @ Adnan
title_fullStr VoIP analysis performance of quality of service in converged networks / Ali Emran Ngatenan @ Adnan
title_full_unstemmed VoIP analysis performance of quality of service in converged networks / Ali Emran Ngatenan @ Adnan
title_sort voip analysis performance of quality of service in converged networks / ali emran ngatenan @ adnan
publishDate 2012
url https://ir.uitm.edu.my/id/eprint/68358/1/68358.pdf
https://ir.uitm.edu.my/id/eprint/68358/
_version_ 1748706000891805696
score 13.211869

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