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融合功能特征和拓扑结构的卫星物联网关键节点分析OA

Analysis of key nodes fusing functional characteristics and topology structure in satellite Internet of things

中文摘要英文摘要

针对现有卫星网络关键节点分析方法主要面向静态网络、评价指标单一、未针对网络特殊性考虑节点功能等问题,提出了一种融合功能特征和拓扑结构的卫星物联网关键节点分析方法.首先,将动态卫星网络进行离散时间划分,得到拓扑快照序列图;其次,考虑卫星星下点的地理位置和覆盖时间,构建时空业务流量模型,获得卫星的物联网业务流量;再次,定义了基于权流量熵的卫星节点功能重要度指标以及基于网络节点的度和介数的卫星节点拓扑重要度指标,进一步提出采用灰色综合评价法对这两个方面的指标进行融合,得到综合的关键节点分析方法;最后,仿真结果表明,与现有方法相比,所提方法能够有效提升卫星网络中关键节点识别的准确度,可为动态卫星网络关键节点分析提供一种技术手段.

Aiming at the existing satellite network key node analysis methods which are mainly oriented to the static net-work and employ a monolithic evaluation index and overlook the node function for the network specificity,a satellite IoT key node analysis method integrating the functional characteristics and topology structure was proposed.Firstly,the dy-namic satellite network was divided into discrete time to get the topology snapshot sequence graph.Secondly,considering the geographic location and coverage time of subsatellite points,a spatio-temporal transaction traffic model was con-structed to obtain the IoT transaction traffic of satellites.Next,the functional importance index of satellite nodes based on the entropy of the weight traffic and the topological importance index of satellite nodes based on the degree and between-ness of the network nodes were defined,and it was further proposed to use the gray comprehensive evaluation to fuse the indexes of these two aspects to obtain a comprehensive key node analysis method.Finally,the simulation results show that compared with the existing methods,the proposed method can effectively improve the accuracy of key node identifi-cation in satellite networks,thus providing a technical means for the analysis of key nodes in dynamic satellite networks.

蒋成洋;张瀚阅;孔槐聪;刘笑宇;欧阳键

南京邮电大学通信与信息工程学院,江苏 南京 210003南京邮电大学波特兰学院,江苏 南京 210023南京邮电大学通信与信息工程学院,江苏 南京 210003南京邮电大学通信与信息工程学院,江苏 南京 210003南京邮电大学通信与信息工程学院,江苏 南京 210003

信息技术与安全科学

卫星物联网关键节点权流量熵灰色综合评价

satellite Internet of thingskey nodesweight-flow entropycomprehensive gray evaluation

《物联网学报》 2026 (2)

110-119,10

国家自然科学基金资助项目(No.61801234)复杂电子系统仿真实验室基础研究课题(No.614201003012206)The National Natural Science Foundation of China(No.61801234),The Research Project of Science and Tech-nology on Complex Electronic System Simulation Laboratory(No.614201003012206)

10.11959/j.issn.2096-3750.WLW24037

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