Separating Noisy TCP/IP Session Flows Based on Natural Redundancy Decoding

IF 1.5 4区 计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Guoxian Yu, Xiaomin Ran, Hongyi Yu, Zhixiang Shen
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Abstract

Aiming at the technical challenges of low latency and high reliability in the complex communication environment of the intelligent industrial network, and the trend of the current Internet of Things architecture is increasingly IP-based, this paper proposes a fast and accurate IP packet forwarding method applied to the routing node, aiming at dealing with the header control packet error problem under high bit error conditions. This method breaks through the limitations of traditional retransmission mechanism and artificially adding redundant information, and only uses the natural redundant characteristics of the protocol itself to realize the correct separation of the session flow in high error environment. The test results on the public data set show that the proposed method can complete the separation of the session stream with a probability of not less than 99% at the bit error rate of 1 0 -1 $\text{1}{{\text{0}}^{\text{-1}}}$ by sacrificing part of the complexity, which provides a new idea and technical means for the fault-tolerant receiving processing of the header five-tuple field in complex communication environments.

Abstract Image

基于自然冗余解码的TCP/IP会话流分离
针对智能工业网络复杂通信环境下低时延、高可靠性的技术挑战,以及当前物联网架构日益以IP为基础的趋势,本文提出了一种应用于路由节点的快速、准确的IP数据包转发方法,旨在解决高误码条件下报头控制数据包的错误问题。该方法突破了传统重传机制和人为添加冗余信息的限制,仅利用协议本身的自然冗余特性,实现了高错误环境下会话流的正确分离。在公共数据集上的测试结果表明,该方法可以在牺牲部分复杂度的情况下,在误码率为1 0 -1 $\text{1}{{\text{0}}^{\text{-1}}}$的情况下,以不小于99%的概率完成会话流的分离。这为复杂通信环境下报头五元组字段的容错接收处理提供了新的思路和技术手段。
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来源期刊
IET Communications
IET Communications 工程技术-工程:电子与电气
CiteScore
4.30
自引率
6.20%
发文量
220
审稿时长
5.9 months
期刊介绍: IET Communications covers the fundamental and generic research for a better understanding of communication technologies to harness the signals for better performing communication systems using various wired and/or wireless media. This Journal is particularly interested in research papers reporting novel solutions to the dominating problems of noise, interference, timing and errors for reduction systems deficiencies such as wasting scarce resources such as spectra, energy and bandwidth. Topics include, but are not limited to: Coding and Communication Theory; Modulation and Signal Design; Wired, Wireless and Optical Communication; Communication System Special Issues. Current Call for Papers: Cognitive and AI-enabled Wireless and Mobile - https://digital-library.theiet.org/files/IET_COM_CFP_CAWM.pdf UAV-Enabled Mobile Edge Computing - https://digital-library.theiet.org/files/IET_COM_CFP_UAV.pdf
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