Node importance evaluation in multi-platform avionics architecture based on TOPSIS and PageRank
Abstract With the development of avionics industry, it is difficult for traditional combat equipment node evaluation method to meet our requirements under complex combat system. This paper presents a method of node importance evaluation which is suitable for modern avionics field and can be used for...
Main Authors: | , , |
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Format: | Article |
Language: | English |
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SpringerOpen
2023-03-01
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Series: | EURASIP Journal on Advances in Signal Processing |
Subjects: | |
Online Access: | https://doi.org/10.1186/s13634-023-00979-3 |
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author | Chang Liu Jinyan Wang Rui Xia |
author_facet | Chang Liu Jinyan Wang Rui Xia |
author_sort | Chang Liu |
collection | DOAJ |
description | Abstract With the development of avionics industry, it is difficult for traditional combat equipment node evaluation method to meet our requirements under complex combat system. This paper presents a method of node importance evaluation which is suitable for modern avionics field and can be used for reference in other combat fields. In order to make better use of the different features of the node itself and the different connections between nodes, we use TOPSIS algorithm to model the characteristics of the node itself, and PageRank to measure the interdependence of all nodes. Therefore, a novel node contribution evaluation algorithm based on TOPSIS and PageRank is proposed in this paper. In addition, after the evaluation of node contribution, we found that there was also a functional relationship between the operational information entropy in the whole graph and the contribution of these nodes. On this basis, information entropy evaluation algorithm of the overall combat map is further proposed. After a lot of experiments, the reliability of our algorithm is evaluated on the indexes of the node's destruction-resistant performance and information transfer efficiency. Compared with the traditional universal algorithm, our proposed algorithm shows more interpretable and robust results in the field of avionics. |
first_indexed | 2024-04-09T22:32:55Z |
format | Article |
id | doaj.art-7f94ec62cacd4ebab0692358dbc0586b |
institution | Directory Open Access Journal |
issn | 1687-6180 |
language | English |
last_indexed | 2024-04-09T22:32:55Z |
publishDate | 2023-03-01 |
publisher | SpringerOpen |
record_format | Article |
series | EURASIP Journal on Advances in Signal Processing |
spelling | doaj.art-7f94ec62cacd4ebab0692358dbc0586b2023-03-22T12:40:38ZengSpringerOpenEURASIP Journal on Advances in Signal Processing1687-61802023-03-012023111610.1186/s13634-023-00979-3Node importance evaluation in multi-platform avionics architecture based on TOPSIS and PageRankChang Liu0Jinyan Wang1Rui Xia2School of Aeronautics and Astronautics, Shanghai Jiao Tong UniversityKey Laboratory of Avionics System Integration, China Aeronautical Radio Electronics Research InstituteKey Laboratory of Avionics System Integration, China Aeronautical Radio Electronics Research InstituteAbstract With the development of avionics industry, it is difficult for traditional combat equipment node evaluation method to meet our requirements under complex combat system. This paper presents a method of node importance evaluation which is suitable for modern avionics field and can be used for reference in other combat fields. In order to make better use of the different features of the node itself and the different connections between nodes, we use TOPSIS algorithm to model the characteristics of the node itself, and PageRank to measure the interdependence of all nodes. Therefore, a novel node contribution evaluation algorithm based on TOPSIS and PageRank is proposed in this paper. In addition, after the evaluation of node contribution, we found that there was also a functional relationship between the operational information entropy in the whole graph and the contribution of these nodes. On this basis, information entropy evaluation algorithm of the overall combat map is further proposed. After a lot of experiments, the reliability of our algorithm is evaluated on the indexes of the node's destruction-resistant performance and information transfer efficiency. Compared with the traditional universal algorithm, our proposed algorithm shows more interpretable and robust results in the field of avionics.https://doi.org/10.1186/s13634-023-00979-3PageRankNetwork influence algorithmEntropyTOPSIS |
spellingShingle | Chang Liu Jinyan Wang Rui Xia Node importance evaluation in multi-platform avionics architecture based on TOPSIS and PageRank EURASIP Journal on Advances in Signal Processing PageRank Network influence algorithm Entropy TOPSIS |
title | Node importance evaluation in multi-platform avionics architecture based on TOPSIS and PageRank |
title_full | Node importance evaluation in multi-platform avionics architecture based on TOPSIS and PageRank |
title_fullStr | Node importance evaluation in multi-platform avionics architecture based on TOPSIS and PageRank |
title_full_unstemmed | Node importance evaluation in multi-platform avionics architecture based on TOPSIS and PageRank |
title_short | Node importance evaluation in multi-platform avionics architecture based on TOPSIS and PageRank |
title_sort | node importance evaluation in multi platform avionics architecture based on topsis and pagerank |
topic | PageRank Network influence algorithm Entropy TOPSIS |
url | https://doi.org/10.1186/s13634-023-00979-3 |
work_keys_str_mv | AT changliu nodeimportanceevaluationinmultiplatformavionicsarchitecturebasedontopsisandpagerank AT jinyanwang nodeimportanceevaluationinmultiplatformavionicsarchitecturebasedontopsisandpagerank AT ruixia nodeimportanceevaluationinmultiplatformavionicsarchitecturebasedontopsisandpagerank |