ODL Centralized Control of Power Communication Network Based on Bio-Inspired Algorithms and SDN

An ODL centralized control strategy is designed to study the problem of heavy load in the power communication network, in which the machine learning method is introduced. SDN technology is used to establish SDN cluster control structure, and different algorithms, such as genetic algorithm, are utili...

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Vydáno v:Mathematical problems in engineering Ročník 2022; s. 1 - 9
Hlavní autor: Min, Congcong
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York Hindawi 30.06.2022
John Wiley & Sons, Inc
Témata:
Artificial intelligence
Bandwidths
Biomimetics
Cloud computing
Communication
Communications networks
Electric power
Electricity distribution
Genetic algorithms
Interfaces
Linear programming
Machine learning
Optimization
Resource scheduling
Scheduling
Software
Software-defined networking
Spectrum allocation
ISSN:1024-123X, 1563-5147
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Abstract An ODL centralized control strategy is designed to study the problem of heavy load in the power communication network, in which the machine learning method is introduced. SDN technology is used to establish SDN cluster control structure, and different algorithms, such as genetic algorithm, are utilized to optimize resource scheduling. The results show that the improved algorithm obtains the shortest link path through 28 iterations. At the same time, AHP is used to switch the network spectrum. Moreover, the application effect of the control strategy is simulated and analyzed, and its effect on network communication application is verified.
AbstractList An ODL centralized control strategy is designed to study the problem of heavy load in the power communication network, in which the machine learning method is introduced. SDN technology is used to establish SDN cluster control structure, and different algorithms, such as genetic algorithm, are utilized to optimize resource scheduling. The results show that the improved algorithm obtains the shortest link path through 28 iterations. At the same time, AHP is used to switch the network spectrum. Moreover, the application effect of the control strategy is simulated and analyzed, and its effect on network communication application is verified.
Author Min, Congcong
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10.21742/ijhit.2018.11.3.02
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ContentType Journal Article
Copyright Copyright © 2022 Congcong Min.
Copyright © 2022 Congcong Min. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0
Copyright_xml – notice: Copyright © 2022 Congcong Min.
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SubjectTerms Artificial intelligence
Bandwidths
Biomimetics
Cloud computing
Communication
Communications networks
Electric power
Electricity distribution
Genetic algorithms
Interfaces
Linear programming
Machine learning
Optimization
Resource scheduling
Scheduling
Software
Software-defined networking
Spectrum allocation
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Title ODL Centralized Control of Power Communication Network Based on Bio-Inspired Algorithms and SDN
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