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A network traffic analysis tool for the prediction of perceived VoIP call quality
Thesis (MScEng)--University of Stellenbosch, 2011.
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| Format: | Thesis |
| Language: | en_ZA |
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Stellenbosch : University of Stellenbosch
2011
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| _version_ | 1867613870094286848 |
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| access_status_str | Open Access |
| author | Maritz, Gert Stephanus Herman |
| author2 | Wolhuter, R. |
| author_browse | Maritz, Gert Stephanus Herman Wolhuter, R. |
| author_facet | Wolhuter, R. Maritz, Gert Stephanus Herman |
| author_sort | Maritz, Gert Stephanus Herman |
| collection | Thesis |
| dc_rights_str_mv | Stellenbosch University |
| description | Thesis (MScEng)--University of Stellenbosch, 2011. |
| format | Thesis |
| id | oai:scholar.sun.ac.za:10019.1/17897 |
| institution | Stellenbosch University (South Africa) |
| language | en_ZA |
| last_indexed | 2026-06-10T12:43:00.621Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from SUNScholar — Stellenbosch University Repository |
| publishDate | 2011 |
| publishDateRange | 2011 |
| publishDateSort | 2011 |
| publisher | Stellenbosch : University of Stellenbosch |
| publisherStr | Stellenbosch : University of Stellenbosch |
| record_format | dspace |
| source_str | SUNScholar — Stellenbosch University Repository |
| spelling | oai:scholar.sun.ac.za:10019.1/17897 A network traffic analysis tool for the prediction of perceived VoIP call quality Maritz, Gert Stephanus Herman Wolhuter, R. University of Stellenbosch. Faculty of Engineering. Dept. of Electrical and Electronic Engineering. Non-Intrusive Quality Prediction Algorithm Dissertations -- Electronic engineering Theses -- Electronic engineering Internet telephony Wireless communication system Communication networks Thesis (MScEng)--University of Stellenbosch, 2011. ENGLISH ABSTRACT: The perceived quality of Voice over Internet Protocol (IP) (VoIP) communication relies on the network which is used to transport voice packets between the end points. Variable network characteristics such as bandwidth, delay and loss are critical for real-time voice traffic and are not always guaranteed by networks. It is important for network service providers to determine the Quality of Service (QoS) it provides to its customers. The solution proposed here is to predict the perceived quality of a VoIP call, in real-time by using network statistics. The main objective of this thesis is to develop a network analysis tool, which gathers meaningful statistics from network traffic. These statistics will then be used for predicting the perceived quality of a VoIP call. This study includes the investigation and deployment of two main components. Firstly, to determine call quality, it is necessary to extract the voice streams from captured network traffic. The extracted sound files can then be analysed by various VoIP quality models to determine the perceived quality of a VoIP call. The second component is the analysis of network characteristics. Loss, delay and jitter are all known to influence perceived call quality. These characteristics are, therefore, determined from the captured network traffic and compared with the call quality. Using the statistics obtained by the repeated comparison of the call quality and network characteristics, a network specific algorithm is generated. This Non-Intrusive Quality Prediction Algorithm (NIQPA) uses basic characteristics such as time of day, delay, loss and jitter to predict the quality of a real-time VoIP call quickly in a non-intrusive way. The realised algorithm for each network will differ, because every network is different. Prediction results can then be used to adapt either the network (more bandwidth, packet prioritising) or the voice stream (error correction, change VoIP codecs) to assure QoS. AFRIKAANSE OPSOMMING: Die kwaliteit van spraak oor die internet (VoIP) kommunikasie is afhanklik van die netwerk wat gebruik word om spraakpakkies te vervoer tussen die eindpunte. Netwerk eienskappe soos bandwydte, vertraging en verlies is krities vir intydse spraakverkeer en kan nie altyd gewaarborg word deur netwerkverskaffers nie. Dit is belangrik vir die netwerk diensverskaffers om die vereiste gehalte van diens (QoS) te verskaf aan hul kliënte. Die oplossing wat hier voorgestel word is om die kwaliteit van ’n VoIP oproep intyds te voorspel, deur middel van die netwerkstatistieke. Die belangrikste doel van hierdie projek is om ’n netwerk analise-instrument te ontwikkel. Die instrument versamel betekenisvolle statistiek deur van netwerkverkeer gebruik te maak. Hierdie statistiek sal dan gebruik word om te voorspel wat die gehalte van ’n VoIP oproep sal wees vir sekere netwerk toestande. Hierdie studie berus op die ondersoek en implementering van twee belangrike komponente. In die eerste plek, moet oproep kwaliteit bepaal word. Spraakstrome word uit die netwerkverkeer onttrek. Die onttrekte klanklêers kan dan geanaliseer word deur verskeie spraak kwaliteitmodelle om die kwaliteitdegradasie van ’n spesifieke VoIP oproep vas te stel. Die tweede komponent is die analise van netwerkeienskappe. Pakkieverlies, pakkievertraging en bibbereffek is bekend vir hul invloed op VoIP kwaliteit en is waargeneem. Hierdie netwerk eienskappe word dus bepaal uit die netwerkverkeer en daarna vergelyk met die gemete gesprekskwaliteit. Statistiek word verkry deur die herhaalde vergelyking van gesprekkwaliteit en netwerk eienskappe. Uit die statistiek kan ’n algoritme (vir die spesifieke network) gegenereer word om spraakkwaliteit te voorspel. Hierdie Nie-Indringende Kwaliteit Voorspellings-algoritme (NIKVA), gebruik basiese kenmerke, soos die tyd van die dag, pakkie vertraging, pakkie verlies en bibbereffek om die kwaliteit van ’n huidige VoIP oproep te voorspel. Hierdie metode is vinnig, in ’n nie-indringende manier. Die gerealiseerde algoritme vir die verskillende netwerke sal verskil, want elke netwerk is anders. Die voorspelling van spraakgehalte kan dan gebruik word om òf die netwerk aan te pas (meer bandwydte, pakkie prioriteit) òf die spraakstroom aan te pas (foutkorreksie, verander VoIP kodering) om die goeie kwaliteit van ’n VoIP oproep te verseker. 2011-10-05T13:44:25Z 2011-12-05T13:09:15Z 2011-10-05T13:44:25Z 2011-12-05T13:09:15Z 2011-12 Thesis http://hdl.handle.net/10019.1/17897 en_ZA Stellenbosch University application/pdf Stellenbosch : University of Stellenbosch |
| spellingShingle | Non-Intrusive Quality Prediction Algorithm Dissertations -- Electronic engineering Theses -- Electronic engineering Internet telephony Wireless communication system Communication networks Maritz, Gert Stephanus Herman A network traffic analysis tool for the prediction of perceived VoIP call quality |
| title | A network traffic analysis tool for the prediction of perceived VoIP call quality |
| title_full | A network traffic analysis tool for the prediction of perceived VoIP call quality |
| title_fullStr | A network traffic analysis tool for the prediction of perceived VoIP call quality |
| title_full_unstemmed | A network traffic analysis tool for the prediction of perceived VoIP call quality |
| title_short | A network traffic analysis tool for the prediction of perceived VoIP call quality |
| title_sort | network traffic analysis tool for the prediction of perceived voip call quality |
| topic | Non-Intrusive Quality Prediction Algorithm Dissertations -- Electronic engineering Theses -- Electronic engineering Internet telephony Wireless communication system Communication networks |
| url | http://hdl.handle.net/10019.1/17897 |
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