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A Novel Binary Slime Mould Algorithm with AU Strategy for Cognitive Radio Spectrum Allocation
Spectrum has now become a scarce resource due to the continuous development of wireless communication technology. Cognitive radio technology is considered to be a new method to solve the shortage of spectrum resources. The spectrum allocation model of cognitive radio can effectively avoid the waste...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8451171/ http://dx.doi.org/10.1007/s44196-021-00005-0 |
_version_ | 1784569785956171776 |
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author | Li, Ling Pan, Tien-Szu Sun, Xiao-Xue Chu, Shu-Chuan Pan, Jeng-Shyang |
author_facet | Li, Ling Pan, Tien-Szu Sun, Xiao-Xue Chu, Shu-Chuan Pan, Jeng-Shyang |
author_sort | Li, Ling |
collection | PubMed |
description | Spectrum has now become a scarce resource due to the continuous development of wireless communication technology. Cognitive radio technology is considered to be a new method to solve the shortage of spectrum resources. The spectrum allocation model of cognitive radio can effectively avoid the waste of spectrum resources. A novel binary version of slime mould algorithm is proposed for the spectrum allocation model to solve the spectrum allocation scheme. In addition, adding unselected factors strategy can make the approach find a better solution. Compared with other algorithms, the novel binary slime mould algorithm and the strategy of adding unselected factors proposed in this paper have a good performance in spectrum allocation. The resulting spectrum allocation scheme can achieve efficient use of network resources. |
format | Online Article Text |
id | pubmed-8451171 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-84511712021-09-20 A Novel Binary Slime Mould Algorithm with AU Strategy for Cognitive Radio Spectrum Allocation Li, Ling Pan, Tien-Szu Sun, Xiao-Xue Chu, Shu-Chuan Pan, Jeng-Shyang Int J Comput Intell Syst Research Article Spectrum has now become a scarce resource due to the continuous development of wireless communication technology. Cognitive radio technology is considered to be a new method to solve the shortage of spectrum resources. The spectrum allocation model of cognitive radio can effectively avoid the waste of spectrum resources. A novel binary version of slime mould algorithm is proposed for the spectrum allocation model to solve the spectrum allocation scheme. In addition, adding unselected factors strategy can make the approach find a better solution. Compared with other algorithms, the novel binary slime mould algorithm and the strategy of adding unselected factors proposed in this paper have a good performance in spectrum allocation. The resulting spectrum allocation scheme can achieve efficient use of network resources. Springer Netherlands 2021-09-20 2021 /pmc/articles/PMC8451171/ http://dx.doi.org/10.1007/s44196-021-00005-0 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Research Article Li, Ling Pan, Tien-Szu Sun, Xiao-Xue Chu, Shu-Chuan Pan, Jeng-Shyang A Novel Binary Slime Mould Algorithm with AU Strategy for Cognitive Radio Spectrum Allocation |
title | A Novel Binary Slime Mould Algorithm with AU Strategy for Cognitive Radio Spectrum Allocation |
title_full | A Novel Binary Slime Mould Algorithm with AU Strategy for Cognitive Radio Spectrum Allocation |
title_fullStr | A Novel Binary Slime Mould Algorithm with AU Strategy for Cognitive Radio Spectrum Allocation |
title_full_unstemmed | A Novel Binary Slime Mould Algorithm with AU Strategy for Cognitive Radio Spectrum Allocation |
title_short | A Novel Binary Slime Mould Algorithm with AU Strategy for Cognitive Radio Spectrum Allocation |
title_sort | novel binary slime mould algorithm with au strategy for cognitive radio spectrum allocation |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8451171/ http://dx.doi.org/10.1007/s44196-021-00005-0 |
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