通信学报 ›› 2017, Vol. 38 ›› Issue (6): 118-126.doi: 10.11959/j.issn.1000-436x.2017126

• 学术论文 • 上一篇    下一篇

防空多传感器网络结构抗毁性优化设计

孙成雨1,申卯兴2,盛浩3,肖金科1   

  1. 1 空军工程大学防空反导学院,陕西 西安 710051
    2 西京学院应用统计与理学系,陕西 西安 710123
    3 93861部队,陕西 咸阳 713800
  • 修回日期:2017-03-28 出版日期:2017-06-25 发布日期:2017-06-30
  • 作者简介:孙成雨(1989-),男,山东临沂人,空军工程大学博士生,主要研究方向为防空反导网络优化、网络抗毁性等。|申卯兴(1956-),男,陕西合阳人,博士,西京学院教授,主要研究方向为网络优化、应用统计等。|盛浩(1984-),男,湖北天门人,93861部队工程师,主要研究方向为网络协同、协同作战检验。|肖金科(1990-),男,河南永成人,空军工程大学博士生,主要研究方向为导弹防御系统建设。

Optimization design of structure invulnerability for air defense multiple sensor network

Cheng-yu SUN1,Mao-xing SHEN2,Hao SHENG3,Jin-ke XIAO1   

  1. 1 Air and Missile Defense College,Air Force Engineering University,Xi’an 710051,China
    2 Applied Statistics and Science Department,Xijing University,Xi’an 710123,China
    3 Troop 93861,Xianyang 713800,China
  • Revised:2017-03-28 Online:2017-06-25 Published:2017-06-30

摘要:

为优化提高防空多传感器网络的抗毁性,以网络遭受攻击过程中的总自然连通度为目标函数,根据网络背景设计节点度和连通性约束,建立网络拓扑结构抗毁性优化模型,并设计利用改进人工免疫算法求解优化模型的步骤。为提高人工免疫算法种群中有效抗体数目进而提升搜索效率,改进算法添加接种疫苗和抗体修复步骤。仿真实验表明优化模型的合理性和改进人工算法求解的快速有效性,而采用按度攻击策略的总自然连通为指标进行优化可显著提高网络的抗毁性。

关键词: 多传感器网络, 自然连通度, 人工免疫算法, 网络抗毁性

Abstract:

To improve the invulnerability of air defense multiple sensor network,its topological structure optimization model was established with the constraint of network node’s degree and network connectivity,combined with the total sum of network’s natural connectivity for attack strategy as object function.Then,solving steps of the model were designed based on improve artificial immune algorithm to solve the model.In order to improve the searching efficiency of the algorithm,new steps of immune review and antibody correction were designed to increase the number of effective antibodies in population.Simulation and results prove rationality of the model and feasibility of the modified artificial immune algorithm,optimization based on the index of total natural connectivity for attack strategy can improve the invulnerability of air defense multiple sensor network.

Key words: multiple sensor network, natural connectivity, artificial immune algorithm, network invulnerability

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