测控通信网络可生存性建模与分析  

Study on survivability modeling and analysis of control communication network

作　　者：于金涛[1,2] 叶伟 

机构地区：[1]哈尔滨商业大学计算机信息与工程学院,哈尔滨150028 [2]哈尔滨医科大学生物信息科学与技术学院,哈尔滨150080

出　　处：《哈尔滨商业大学学报（自然科学版）》2017年第6期715-719,共5页Journal of Harbin University of Commerce：Natural Sciences Edition

基　　金：哈尔滨市科技创新人才项目(2017RALXJ007)

摘　　要：测控通信系统是地面指控中心与深空探测器联系的纽带,为了保证探测任务的顺利完成,测控通信网络中使用了大量冗余设备,但不必要的设备冗余不仅不会增加网络的可靠性反而会使网络结构更加复杂,增加后期维护成本,造成资源浪费.针对深空测控通信网络提出一种基于韧性度的可生存性研究方法,同时在计算韧性度时使用了模拟退火粒子群算法并对其进行优化,降低了韧性度计算时的时间复杂度.通过对两种基本网络和一种深空探测信息网络进行仿真,验证了分析方法的有效性.In order to guarantee its work reliability there is a large amount of redundancy in the network. But unnecessary equipment redundancy instead of increase the reliability of the network,which makes the network structure more complicated,increases the maintenance costs,and cause the waste of resources. In this paper,a research methods for survivability of deep space tracking and command（ TC） network was proposed. To reduce the computing time complexity of tenacity,using simulated annealing particle swarm optimization algorithm（ SAPSO）. Results of experiment conducted in two basic networks and one realistic networks illustrate thatthe algorithm was impactful and high-performance to calculate network tenacity,the reasonable optimization suggestions of network structure design were given in this paper.

关 键 词：可生存性 测控通信网络 韧性度 割点 模拟退火粒子群优化算法 

分 类 号：TP393.0[自动化与计算机技术—计算机应用技术]