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A Chaotic Hybrid Immune Genetic Algorithm for Spectrum Allocation Optimization in ICRSN
Joint Authors
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-09-23
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
The growing usage of the industrial cognitive radio sensor network (ICRSN) brings profound changes to the Internet of Things.
The ICRSN is an emerging technique to transfer industrial data, which has strict and accurate communication requirements in a large number of areas such as environmental surveillance, building monitoring, control, and many other areas.
The problem of maximizing the sum bandwidth by using a spectrum allocation algorithm has been extensively studied in this paper.
Inspired by chaos theory and quantum computing, this work presents a new chaotic hybrid immune genetic algorithm (CHIGA).
We then introduce a spectrum allocation model that considers both network reward, throughput, and convergence time.
The improvement of CHIGA performance through experimental simulations is evaluated in terms of the sum network reward compared to methods based on simulated annealing (SA), ant colony optimization (ACO), and particle swarm optimization (PSO).
Simulation results show that the CHIGA has a higher network reward and throughput existing optimized algorithms while maintaining total system throughput.
American Psychological Association (APA)
Xu, Mengying& Zhou, Jie& Lu, Yi. 2020. A Chaotic Hybrid Immune Genetic Algorithm for Spectrum Allocation Optimization in ICRSN. Journal of Sensors،Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1190598
Modern Language Association (MLA)
Xu, Mengying…[et al.]. A Chaotic Hybrid Immune Genetic Algorithm for Spectrum Allocation Optimization in ICRSN. Journal of Sensors No. 2020 (2020), pp.1-13.
https://search.emarefa.net/detail/BIM-1190598
American Medical Association (AMA)
Xu, Mengying& Zhou, Jie& Lu, Yi. A Chaotic Hybrid Immune Genetic Algorithm for Spectrum Allocation Optimization in ICRSN. Journal of Sensors. 2020. Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1190598
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1190598