基于帧重要性认知的网络差错控制策略

乐德广; 靳勇; 郭东辉; 常晋义

doi:1000-436X(2011)11-0011-10

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基于帧重要性认知的网络差错控制策略

学术论文 | 更新时间：2024-06-05

- 基于帧重要性认知的网络差错控制策略
- Frame importance valuation cognition based error control mechanism on cognitive networks
- 通信学报 2011年32卷第11期页码：11-20
- 作者机构：
  
  1. 常熟理工学院计算机科学与工程学院，江苏常熟 215500
  2. 厦门大学信息科学与技术学院，福建厦门 361005
- 作者简介：
  
  [ "乐德广（1975-)，男，福建三明人，博士，常熟理工大学教授，主要研究方向为计算机网络安全与下一代互联网技术等。" ]
  [ "靳勇（1981-)，男，山西长治人，硕士，常熟理工大学讲师，主要研究方向为无线多媒体网络、无线传感器网络、差错控制等。" ]
  [ "郭东辉（1967-)，男，福建莆田人，博士，厦门大学教授，主要研究方向为网络体系结构和协议、MANETs、多媒体网络、网络系统性能分析、评价、QoS等。" ]
  [ "常晋义（1955-)，男，山西忻州人，常熟理工大学教授，主要研究方向为空间决策支持系统、数据库安全技术、软件工程等。" ]
- 基金信息：
  
  江苏省“六大人才高峰”基金资助项目;The Program for Advanced Talents Within Six Industries of Jiangsu Province(09-D-LE-Deguang);江苏省高校自然科学研究基金资助项目;The Natura Science Foundation for Colleges and Universities in Jiangsu Province(10KJB520001);常熟理工学院教师科研启动基金资助项目;The Teacher Science Foundation of Changshu Institute of Technology(KY2009024);常熟理工学院青年教师科研启动基金资助项目;The Young Teacher Science Foundation of Changshu Institute of Technology(QZ0911)
- DOI：1000-436X(2011)11-0011-10
  中图分类号： TP393
- 网络出版日期：2011-11，
  
  纸质出版日期：2011-11-25
- 稿件说明：
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乐德广, 靳勇, 郭东辉, 等. 基于帧重要性认知的网络差错控制策略[J]. 通信学报, 2011,32(11):11-20.

De-guang LE, Yong JIN, Dong-hui GUO, et al. Frame importance valuation cognition based error control mechanism on cognitive networks[J]. Journal on communications, 2011, 32(11): 11-20.
乐德广, 靳勇, 郭东辉, 等. 基于帧重要性认知的网络差错控制策略[J]. 通信学报, 2011,32(11):11-20. DOI： 1000-436X(2011)11-0011-10.

De-guang LE, Yong JIN, Dong-hui GUO, et al. Frame importance valuation cognition based error control mechanism on cognitive networks[J]. Journal on communications, 2011, 32(11): 11-20. DOI： 1000-436X(2011)11-0011-10.

摘要

提出一种适用于认知网络的认知差错控制策略(CEC)，该策略根据认知数据帧被转发所经历的跳数和类型的重要性智能地为丢失数据帧选择最佳差错控制机制来改善认知网络的通信性能。建立了认知网络能效模型，数学分析和仿真比较表明：该策略能够有效地提高认知网络多媒体数据传输的可靠性，同时保持高能效。

Abstract

A cognitive error control mechanism for cognitive networks

called CEC was proposed.CEC was based on the cognition of importance of data frames’hops and types

which could select a best error control mechanism to improve the communication performance in cognitive networks.Besides

the energy efficiency model of cognitive networks was built.The mathematical analysis and simulation comparisons show that the proposed CEC mechanism achieves better performance in terms of communication reliability and energy efficiency in cognitive networks.

关键词

Keywords

references

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