基于分簇理论的信息流优化算法研究  

Research of Information Flow Optimization Based on Clustering Theory

作　　者：李智[1] 姚勇[2] 

机构地区：[1]装备指挥技术学院国防科技重点实验室,北京101416 [2]装备指挥技术学院研究生管理大队,北京101416

出　　处：《现代防御技术》2012年第2期71-76,共6页Modern Defence Technology

摘　　要：将导弹防御指控网络看作变拓扑结构网络,引入小世界网络中"簇"的概念,以最短作战响应时间为优化指标,提出了一种基于平均连接度自适应分簇算法的信息流优化算法。仿真结果表明,该算法在保证信息优裕度的前提下,提高了信息可达度和信息交互质量,提高了指控网络遭受打击时的重构能力。The command and control, battle management, and communications （C2BMC） network is regarded as changeable topologic network. Based on the cluster concept of the small-world network and the shortest operational response time which is considered as the optimize index, the information flow op- timization algorithm named as mean connectivity degree adaptive clustering （MCDAC） is proposed. The simulation result shows that, by using MCDAC algorithm, the information accessibility and interactive quality is improved, the reconstruct ability of C2BMC system upon attacking is enhanced.

关 键 词：指控系统 信息流优化 自适应分簇 

分 类 号：TN915[电子电信—通信与信息系统] E917[电子电信—信息与通信工程]