Significance of Computional Intelligence Method in Computer Networks

被引:0
|
作者
Lal, Reginald [1 ]
Chiou, Andrew [1 ]
机构
[1] CQUniv Australia, Sch Comp Sci, Rockhampton, Qld 4701, Australia
关键词
computation intelligence; congestion control; computer networks; conventional methods; fuzzy logic;
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
The increase in network traffic has lead to the concept of congestion in computer networks. The problem of network congestion control remains a major issue in today's computer networks. Despite various methods and algorithms that has been proposed, however due to the dynamic nature of computer networks, no universal control method has been widely accepted. This paper reviews various conventional methods proposed to avoid network congestion and compares it to computational intelligence (CI) method. A demonstrative simulation is setup to measure congestion in a LAN environment. In addition, the methods of computational intelligence and its efficiency in network congestion management have been addressed in-depth.
引用
收藏
页码:468 / 473
页数:6
相关论文
共 50 条
  • [1] A Computional Intelligence Framework for NMR Spectroscopy Imaging and Retrieval
    Karras, Dimitrios A.
    [J]. 2012 3RD INTERNATIONAL CONFERENCE ON IMAGE PROCESSING THEORY, TOOLS AND APPLICATIONS, 2012, : 9 - 9
  • [2] Application of Computional Intelligence and Mathematics Methods in Bioinformatics and Biomedicine
    Cai, Yudong
    [J]. CURRENT BIOINFORMATICS, 2013, 8 (05) : 531 - 532
  • [3] A New Method for Intrusion Detection in Computer Networks using Computational Intelligence Algorithms
    Hao, Yanrong
    Yan, Shaohui
    [J]. INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2023, 14 (09) : 1170 - 1184
  • [4] Fielded object networks as a framework for computer intelligence
    Goncalves, R
    Gomide, F
    Gudwin, R
    [J]. JOINT CONFERENCE ON THE SCIENCE AND TECHNOLOGY OF INTELLIGENT SYSTEMS, 1998, : 210 - 214
  • [5] MULTIDIMENSIONAL NEURAL GROWING NETWORKS AND COMPUTER INTELLIGENCE
    YASHCHENKO, VA
    [J]. CYBERNETICS AND SYSTEMS ANALYSIS, 1994, 30 (04) : 505 - 517
  • [6] The significance of virtual computer networks in distance education
    Kuczborski, W
    [J]. 6TH UICEE ANNUAL CONFERENCE ON ENINEERING EDUCATION, CONFERENCE PROCEEDINGS: EDUCATING FOR THE RIGHT ENVIRONMENT, 2003, : 163 - 166
  • [7] A METHOD OF REPORTING THE SIGNIFICANCE OF INTELLIGENCE TESTS TO PARENTS AND TEACHERS
    Darsie, Marvin L.
    [J]. SCHOOL AND SOCIETY, 1925, 22 (567): : 597 - 600
  • [8] The Use of Artificial Intelligence for the Intrusion Detection System in Computer Networks
    Yip Ortuno, Santiago
    Hernandez Aguilar, Jose Alberto
    Taboada, Blanca
    Ochoa Ortiz, Carlos Alberto
    Perez Ramirez, Miguel
    Arroyo Figueroa, Gustavo
    [J]. ADVANCES IN SOFT COMPUTING, MICAI 2017, PT I, 2018, 10632 : 302 - 312
  • [9] Hybridization of computational intelligence methods for attack detection in computer networks
    Branitskiy, A.
    Kotenko, I.
    [J]. JOURNAL OF COMPUTATIONAL SCIENCE, 2017, 23 : 145 - 156
  • [10] Detecting Attacks on Computer Networks using Artificial Intelligence Algorithms
    Krolik, Lukasz
    Kedziora, Michal
    Mizera-Pietraszko, Jolanta
    Jozwiak, Ireneusz
    [J]. PROCEEDINGS OF 2022 14TH INTERNATIONAL CONFERENCE ON MANAGEMENT OF DIGITAL ECOSYSTEMS, MEDES 2022, 2022, : 110 - 114