MVF: A Novel Technique to Reduce the Voip Packet Payload Length

IF 1.1 Q3 TRANSPORTATION SCIENCE & TECHNOLOGY
Mosleh M. Abualhaj, A. Abu-Shareha, S. Al-Khatib, Qusai Y. Shambour
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引用次数: 0

Abstract

The adoption of the Voice over Internet Protocol (VoIP) system is growing due to several factors, including its meagre rate and the numerous contours that can be joined with VoIP systems. However, the wasteful utilisation of the computer network is an inevitable problem that limits the rapid growth of VoIP systems. The essential explanation behind this wasteful utilisation of the computer network bandwidth (BW) is the considerable preamble length of the VoIP packet. In this study, we invent a technique that addresses the considerable preamble length of the VoIP packet. The designed technique is known as the manikin voice frame (MVF). The primary idea of the MVF technique is to utilise the VoIP packet preamble tuples that are not essential to the voice calls, particularly client-to-client calls (voice calls between only two users). Specifically, these tuples will be utilised for reserving the data of the VoIP packet. In certain instances, this will make the VoIP packet data manikin or even make it empty. The performance assessment of the introduced MVF technique demonstrated that the utilisation of the computer network BW has enhanced by 33%. Along these lines, the MVF technique indicates potential progress in resolving the inefficient usage of the computer network BW.
MVF:减少 Voip 数据包有效载荷长度的新技术
网络电话(VoIP)系统的采用正在不断增长,这有几个因素,包括其低廉的费率和网络电话系统可连接的众多轮廓。然而,计算机网络的浪费是限制网络电话系统快速发展的一个不可避免的问题。造成这种计算机网络带宽(BW)浪费的主要原因是 VoIP 数据包的前导码长度过长。在这项研究中,我们发明了一种技术来解决 VoIP 数据包前导码长度过长的问题。所设计的技术被称为人造人语音帧(MVF)。MVF 技术的主要理念是利用 VoIP 数据包前导码中对语音呼叫(尤其是客户对客户呼叫(仅两个用户之间的语音呼叫))并不重要的图元。具体地说,这些元组将用于保留 VoIP 数据包的数据。在某些情况下,这将使 VoIP 数据包的数据变成人机数据,甚至是空数据。对引入的 MVF 技术进行的性能评估表明,计算机网络 BW 的利用率提高了 33%。由此可见,MVF 技术在解决计算机网络 BW 使用效率低下的问题上取得了潜在进展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Transport and Telecommunication Journal
Transport and Telecommunication Journal TRANSPORTATION SCIENCE & TECHNOLOGY-
CiteScore
3.00
自引率
0.00%
发文量
21
审稿时长
35 weeks
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