Evaluation method of node importance in temporal satellite networks based on time slot correlation

Abstract Temporal satellite networks can accurately describe the dynamic process of satellite networks by considering the interaction relationship and interaction sequence between satellite nodes. In addition, the measurement of node importance in satellite networks plays a crucial role in understan...

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Autores principales:	Rui Xu, Xiaoqiang Di, Xiongwen He, Hui Qi
Formato:	article
Lenguaje:	EN
Publicado:	SpringerOpen 2021
Materias:	Temporal satellite network Time slot coefficient Supra-adjacency matrix Eigenvector centrality Key nodes Telecommunication TK5101-6720 Electronics TK7800-8360
Acceso en línea:	https://doaj.org/article/da7359593918498eaf01daaabe708874
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spelling	oai:doaj.org-article:da7359593918498eaf01daaabe7088742021-11-07T12:10:36ZEvaluation method of node importance in temporal satellite networks based on time slot correlation10.1186/s13638-021-02062-71687-1499https://doaj.org/article/da7359593918498eaf01daaabe7088742021-11-01T00:00:00Zhttps://doi.org/10.1186/s13638-021-02062-7https://doaj.org/toc/1687-1499Abstract Temporal satellite networks can accurately describe the dynamic process of satellite networks by considering the interaction relationship and interaction sequence between satellite nodes. In addition, the measurement of node importance in satellite networks plays a crucial role in understanding the structure and function of the network. The classical supra-adjacency matrix (SAM) temporal model identifies the key nodes in the temporal network to some extent, which ignores the differences of inter-layer connectivity relationships leading to the inability to reflect the dynamic variations of satellite nodes. Therefore, the evaluation method based on time slot correlation is proposed to measure the importance of satellite nodes in this paper. Firstly, the correlation coefficient of time slot nodes is defined to measure the coupling relationship of adjacent time slots. Secondly, the dynamic supra-adjacency matrix (DSAM) temporal network model is proposed considering the correlation between adjacent time slots and the characteristics of link time. Finally, the node importance ranking results in each time slot and a global perspective are obtained by utilizing the eigenvector centrality. Experimental simulations of the Iridium and Orbcomm constellations demonstrate that the DSAM method has a relatively accurate recognition rate and high stability.Rui XuXiaoqiang DiXiongwen HeHui QiSpringerOpenarticleTemporal satellite networkTime slot coefficientSupra-adjacency matrixEigenvector centralityKey nodesTelecommunicationTK5101-6720ElectronicsTK7800-8360ENEURASIP Journal on Wireless Communications and Networking, Vol 2021, Iss 1, Pp 1-23 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Temporal satellite network Time slot coefficient Supra-adjacency matrix Eigenvector centrality Key nodes Telecommunication TK5101-6720 Electronics TK7800-8360
spellingShingle	Temporal satellite network Time slot coefficient Supra-adjacency matrix Eigenvector centrality Key nodes Telecommunication TK5101-6720 Electronics TK7800-8360 Rui Xu Xiaoqiang Di Xiongwen He Hui Qi Evaluation method of node importance in temporal satellite networks based on time slot correlation
description	Abstract Temporal satellite networks can accurately describe the dynamic process of satellite networks by considering the interaction relationship and interaction sequence between satellite nodes. In addition, the measurement of node importance in satellite networks plays a crucial role in understanding the structure and function of the network. The classical supra-adjacency matrix (SAM) temporal model identifies the key nodes in the temporal network to some extent, which ignores the differences of inter-layer connectivity relationships leading to the inability to reflect the dynamic variations of satellite nodes. Therefore, the evaluation method based on time slot correlation is proposed to measure the importance of satellite nodes in this paper. Firstly, the correlation coefficient of time slot nodes is defined to measure the coupling relationship of adjacent time slots. Secondly, the dynamic supra-adjacency matrix (DSAM) temporal network model is proposed considering the correlation between adjacent time slots and the characteristics of link time. Finally, the node importance ranking results in each time slot and a global perspective are obtained by utilizing the eigenvector centrality. Experimental simulations of the Iridium and Orbcomm constellations demonstrate that the DSAM method has a relatively accurate recognition rate and high stability.
format	article
author	Rui Xu Xiaoqiang Di Xiongwen He Hui Qi
author_facet	Rui Xu Xiaoqiang Di Xiongwen He Hui Qi
author_sort	Rui Xu
title	Evaluation method of node importance in temporal satellite networks based on time slot correlation
title_short	Evaluation method of node importance in temporal satellite networks based on time slot correlation
title_full	Evaluation method of node importance in temporal satellite networks based on time slot correlation
title_fullStr	Evaluation method of node importance in temporal satellite networks based on time slot correlation
title_full_unstemmed	Evaluation method of node importance in temporal satellite networks based on time slot correlation
title_sort	evaluation method of node importance in temporal satellite networks based on time slot correlation
publisher	SpringerOpen
publishDate	2021
url	https://doaj.org/article/da7359593918498eaf01daaabe708874
work_keys_str_mv	AT ruixu evaluationmethodofnodeimportanceintemporalsatellitenetworksbasedontimeslotcorrelation AT xiaoqiangdi evaluationmethodofnodeimportanceintemporalsatellitenetworksbasedontimeslotcorrelation AT xiongwenhe evaluationmethodofnodeimportanceintemporalsatellitenetworksbasedontimeslotcorrelation AT huiqi evaluationmethodofnodeimportanceintemporalsatellitenetworksbasedontimeslotcorrelation
_version_	1718443518506041344

Evaluation method of node importance in temporal satellite networks based on time slot correlation

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