东北大学学报（自然科学版）

东北大学学报（自然科学版） ›› 2023, Vol. 44 ›› Issue (3): 315-323.DOI: 10.12068/j.issn.1005-3026.2023.03.002

• 信息与控制 • 上一篇    下一篇

面向服务的天基信息网节点重要性评估算法

刘军1， 石家伟1， 焦浩月1， 姜向宏2   

  1. (1. 东北大学 计算机科学与工程学院， 辽宁 沈阳110169; 2. 湖北工业大学 工程技术学院， 湖北 武汉430068)
  • 修回日期:2021-01-11 接受日期:2021-01-11 发布日期:2023-03-24
  • 通讯作者: 刘军
  • 作者简介:刘军(1969-)，男，辽宁沈阳人，东北大学副教授.
  • 基金资助:
    国家自然科学基金资助项目 (62071134).

An Algorithm for Assessing the Importance of Service Oriented Space-based Information Network Nodes

LIU Jun1， SHI Jia-wei1， JIAO Hao-yue1， JIANG Xiang-hong2   

  1. 1. School of Computer Science & Engineering， Northeastern University， Shenyang 110169， China; 2. Engineering and Technology College， Hubei University of Technology， Wuhan 430068， China.
  • Revised:2021-01-11 Accepted:2021-01-11 Published:2023-03-24
  • Contact: LIU Jun
  • About author:-
  • Supported by:
    -

RichHTML

5

PDF (PC)

266

摘要： 针对传统节点重要性评估只考虑拓扑方面，主观赋权法与客观赋权法分别具有限制性，多评估指标如何准确有效融合的问题，建立面向服务的节点重要性指标体系，提出基于粒子群的主、客观综合赋权法与基于余弦距离和灰色关联的逼近理想排序算法.结果表明，与传统方法相比，优先移除或修复本文方法评估出的重要节点对网络性能的影响更大，即本文的节点重要性评估算法更准确.

关键词: 天基信息网；节点重要性；面向服务；组合权重；逼近理想解排序

Abstract: Traditional node importance assessment only considers topologies， subjective and objective assignment methods have limitations. In order to integrate multiple assessment indicators accurately and effectively， the service-oriented node importance indicator system was established and the subjective and objective comprehensive weighting method based on particle swarm and an approximate ideal solution sorting algorithm based on cosine distance and grey correlation were proposed. The results show that removing or repairing the important nodes evaluated by the method has a greater impact on the network performance compared with traditional methods. The node importance assessment algorithm is more accurate than traditional algorithms.

Key words: space-based information network; node importance; service oriented; combination weight; TOPSIS (techique for order prefece by similarity to ideal solution)

中图分类号: