摘要
空间信息网节点都暴露于空间的复杂环境,导致其很容易遭受攻击,出现卫星或链路的故障或失效,从而影响空间信息网通信的可靠性。因此,提出一种基于跳面节点与petri网的空间信息网可靠性评估算法,完成了可靠性评估指标的建立、可靠性评估两部分。构建petri网评估模型,在此模型上建立单颗卫星的静态拓扑并组建跳面。利用petri网跳面节点计算网络的连通可靠度,评估连通可靠性和抗毁性。在业务可靠性评估过程中,利用基于选择复制的动态数据传输算法,采集petri网评估时所需数据,通过petri网中变迁置信度计算,对业务可靠性评估。仿真结果表明,算法能够有效评估空间信息网的可靠性,为构建可靠性较高的拓扑、保证数据的可靠传输提供有力的依据,可以有效避开故障部位或拥塞区域,提高了网络的抗毁性。
The space information network is located in the complex environment, so it cannot clearly determine the satellite or communication link failure. Also space information network nodes are exposed in the complex environment of space, so it is vulnerable to attack, which causes malfunction or failure of satellites or links, thereby affects the reliability of space information network communication. So, a reliability evaluation algorithm based on jump-plane nodes and petri net in space information networks, completes the establishment of the reliability evaluation index and reliability assessment of two parts. A Petri net evaluation model is constructed, and the static topology of a single satellite is built based on the model. Using the Petri network jump-plane nodes to calculate the network connectivity reliability, and evaluate the connectivity reliability and survivability. In the process of business reliability assessment, the data acquisition is collected, and the business reliability is assessed by calculating the reliability of the change in petri net. The simulation results show that the algorithm can effectively evaluate the reliability of the spatial information network, provide a strong basis for building a high reliability of topology and reliable transmission of data, and can effectively avoid the faults or congestion areas, which improves the network survivability.
出处
《控制工程》
CSCD
北大核心
2016年第S1期66-72,共7页
Control Engineering of China
基金
国家自然科学基金资助项目(U14331156
1151002
61401079
61501038)
中国航天科技集团公司卫星应用研究院创新基金(2014_CXJJ-TX_11)
中央高校基本科研业务费专项资金(N120404003)
关键词
空间信息网
跳面节点
PETRI网
连通可靠性
业务可靠性
Space information network
jump-plane node
petri net
connectivity reliability
service reliability