文章基本信息

标题：Research on the Weighted Dynamic Evolution Model for Space Information Networks Based on Local-World
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作者：Shaobo Yu ; Lingda Wu ; Xiuqing Mu 等
期刊名称：Information
电子版ISSN：2078-2489
出版年度：2018
卷号：9
期号：7
页码：158
DOI：10.3390/info9070158
语种：English
出版社：MDPI Publishing
摘要：As an important national strategy infrastructure, the Space Information Network (SIN) is a powerful platform for future information support, and it plays an important role in many aspects such as national defense, people’s livelihood, etc. In this paper, we review typical and mainstream topology evolution models in different periods, and analyze the demand for studying the dynamic evolution model of SIN. Combining the concept and characteristics, we analyze the topology structure and local-world phenomenon of SIN, and define the dynamic topology model. Based on the system’s discussion of dynamic evolution rules, we propose a weighted local-world dynamic evolution model of SIN including the construction algorithm and implementation process. We achieve the quantitative analysis from four indicators including the node degree, node strength, edge weight, and correlation of strength and degree. Through the univariate control method, we analyze the impact on the network topology features of parameters: local-world M and extra traffic load α. Simulation results show that they have similar topology structure features with the theoretical analysis and real networks, and also verify the validity and feasibility of the proposed model. Finally, we summarize the advantages and disadvantages of the weighted local-world dynamic evolution model of SIN, and look forward to the future work. The research aim of this paper is to provide some methods and techniques to support the construction and management of SIN.
关键词：space information networks; dynamic evolution; local-world phenomenon; evolution characteristics and rules; edge-weight space information networks ; dynamic evolution ; local-world phenomenon ; evolution characteristics and rules ; edge-weight