Behavior of VoIP Traffic QoS Metrics in Loaded Networks

The study and analysis of a VoIP system or a network designed for VoIP traffic transmission can be approached from various perspectives, each demonstrating the impact of different parameters on it. Ultimately, all these approaches converge on assessing to what extent the quality of service (QoS) requirements are met. The present research is no exception, as it focuses on the QoS of service in packet-based networks, particularly VoIP. To this end, the different types of QoS, methods of measurement and evaluation of results, key system-level factors affecting QoS, and how they influence the performance of the system will be defined. This study will examine VoIP traffic and QoS related parameters under adverse conditions, specifically heavy network congestion.

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Publication Details

Published
2024-11-21
DOI
https://doi.org/10.1109/telecom63374.2024.10812328
Citations
2
Primary Topic
Network Traffic and Congestion Control
Type
article
Field-Weighted Citation Impact
0.70
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article

Behavior of VoIP Traffic QoS Metrics in Loaded Networks

Todorka Georgieva, Vladimir Vichev
2 citations
Network Traffic and Congestion Control
0.70
article

Behavior of VoIP Traffic QoS Metrics in Loaded Networks

Todorka Georgieva, Vladimir Vichev
article en
2 citations

Abstract

The study and analysis of a VoIP system or a network designed for VoIP traffic transmission can be approached from various perspectives, each demonstrating the impact of different parameters on it. Ultimately, all these approaches converge on assessing to what extent the quality of service (QoS) requirements are met. The present research is no exception, as it focuses on the QoS of service in packet-based networks, particularly VoIP. To this end, the different types of QoS, methods of measurement and evaluation of results, key system-level factors affecting QoS, and how they influence the performance of the system will be defined. This study will examine VoIP traffic and QoS related parameters under adverse conditions, specifically heavy network congestion.

Technical University of Varna (BG)
Openalex Percentile: Top 26%
Network Traffic and Congestion Control
0.70
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