Improvement of VoIP service quality based on an adaptive congestion control method

Aissata Beni Traore, Jing Wang*, Xiaohan Zhao, Jin Weng

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

In this paper, we improve the quality of voice over internet protocols (VoIP) for real-time communication. VoIP is vulnerable to poor performance due to some networks impairments such as packet loss, delay and jitter. We suggest a congestion control method that relies on extracting more information from receiver feedback reports. In this paper, we develop an algorithm that integrates efficient queuing methods into the proposed adaptive congestion control techniques based at the sender-side. We conduct simulation experiments in a network simulator (NS2), to test the performance of our proposed algorithm in improving VoIP service quality. Further results indicate that our proposed algorithm outperforms the existing congestion control methods.

Original languageEnglish
Title of host publication2018 14th IEEE International Conference on Signal Processing Proceedings, ICSP 2018
EditorsYuan Baozong, Ruan Qiuqi, Zhao Yao, An Gaoyun
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages265-269
Number of pages5
ISBN (Electronic)9781538646724
DOIs
Publication statusPublished - 2 Feb 2019
Event14th IEEE International Conference on Signal Processing, ICSP 2018 - Beijing, China
Duration: 12 Aug 201816 Aug 2018

Publication series

NameInternational Conference on Signal Processing Proceedings, ICSP
Volume2018-August

Conference

Conference14th IEEE International Conference on Signal Processing, ICSP 2018
Country/TerritoryChina
CityBeijing
Period12/08/1816/08/18

Keywords

  • Congestion Control
  • Queue Management Algorithm(QMA)
  • Voice over Internet Protocol (VoIP)

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