Cognitive Wireless Network Congestion Control Algorithm Based on Homogeneous Envi ronment

LI Yun; WANG Xue-jun

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Cognitive Wireless Network Congestion Control Algorithm Based on Homogeneous Envi ronment

更新时间：2026-09-04

- Cognitive Wireless Network Congestion Control Algorithm Based on Homogeneous Envi ronment
- Vol. 30, Issue 10, Pages: 13-16(2013)
- 作者机构：
  
  桂林航天工业学院机构电子工程系,广西,桂林,541004
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2013
- 稿件说明：
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李云, 王学军. 基于同构型环境的认知无线网络拥塞控制算法[J]. 微电子学与计算机, 2013, 30(10): 13-16.

LI Yun, WANG Xue-jun. Cognitive Wireless Network Congestion Control Algorithm Based on Homogeneous Envi ronment[J]. 2013, 30(10): 13-16.
李云, 王学军. 基于同构型环境的认知无线网络拥塞控制算法[J]. 微电子学与计算机, 2013, 30(10): 13-16. DOI：

LI Yun, WANG Xue-jun. Cognitive Wireless Network Congestion Control Algorithm Based on Homogeneous Envi ronment[J]. 2013, 30(10): 13-16. DOI：

摘要

针对认知网络的学习环节和行动环节

提出了一种新的接入模型。根据同构型环境下的主节点存在区域

通过构造次级节点接入以获得主网络节点最大化吞吐量的目的。在此基础上

对同构型的认知网络建立了拥塞控制算法TCP-Vegas。最后

以实际数据对网络性能进行仿真评估

结果表明该算法能够较好地指导认知网络的决策与行动。

Abstract

A novel access model is proposed for the learning and action of cognitive network in this paper.With homogeneous environment master node region

the maximize throughput of main node in network is got by secondary node access. Based on this model

the congestion control algorithm of TCP-Vegas is presented by cognitive network homogeneous network. Finally

a simulation with actual data is estimated for network performance

and result shows that

it is better guidance of cognitive network decision and action.

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