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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Veröffentlicht in:Mathematical problems in engineering Jg. 2022; S. 1 - 9
1. Verfasser: Min, Congcong
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York Hindawi 30.06.2022
John Wiley & Sons, Inc
Schlagworte:
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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Zusammenfassung: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.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1024-123X
1563-5147
DOI:10.1155/2022/9925620