Research of Network Cognitive Based on Immune and Gray System Theory

WANG Wei; WANG Hui; ZHANG Xiao

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Research of Network Cognitive Based on Immune and Gray System Theory

更新时间：2026-09-04

- Research of Network Cognitive Based on Immune and Gray System Theory
- Vol. 30, Issue 6, Pages: 117-121(2013)
- 作者机构：
  
  1. 1 河南科技大学电子信息工程学院,河南,洛阳,471003
  2. 2 河南科技大学机构现代教育技术与信息中心,河南,洛阳,471003
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2013
- 稿件说明：
移动端阅览
王伟, 王辉, 张潇. 基于免疫和灰色系统理论的网络认知研究[J]. 微电子学与计算机, 2013, 30(6): 117-121.

WANG Wei, WANG Hui, ZHANG Xiao. Research of Network Cognitive Based on Immune and Gray System Theory[J]. 2013, 30(6): 117-121.
王伟, 王辉, 张潇. 基于免疫和灰色系统理论的网络认知研究[J]. 微电子学与计算机, 2013, 30(6): 117-121. DOI：

WANG Wei, WANG Hui, ZHANG Xiao. Research of Network Cognitive Based on Immune and Gray System Theory[J]. 2013, 30(6): 117-121. DOI：

摘要

针对传统TCP控制协议在异构网络中效率低下问题

提出一种基于免疫和灰色系统理论的网络认知研究.该研究利用人工免疫系统分析各参数的特性和利用灰色关联度建立该网络各参数与当前网络性能之间的相关性

通过一定的数据分析

对网络进行准确、高效的认知.该研究采用传输控制协议TCPL进行仿真实验.仿真实验证明:该算法能够在不同背景流的条件下稳定发送窗口

减少拥塞发生并提高吞吐量

改善了网络性能.

Abstract

In view of the traditional TCP control protocol in low efficiency in heterogeneous network

research of network cognitive based on immune and gray system theory is proposed.The research utilizes artificial immune system analysis parameters characteristics and the use of grey correlation to build the performance of the correlation between network parameters and the current network

through some data analysis to accurate and efficient cognition network.This research uses Transmission Control Protocol(TCPL) to finish simulation experiments.Simulation show: Under different background flow conditions

the algorithm can stabilize sending window

reduce congestion and improve throughput and transmission efficiency.

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