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Technology of Network & Communication
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3432-3435,3449

Cooperative spectrum sensing method for CRSN soft decision based on entropy weight method

Lin Ji
Li Junhui
College of Information Science & Technology, Nanjing Forestry University, Nanjing 210037, China

Abstract

In the actual wireless environment, the influence of shadow and fading will lead to different characteristics of the signals received by the sensor nodes. Therefore, some cooperative nodes in deep fading will have serious missed detection, which will affect the final result of fusion operation. To solve the above problems, this paper proposed a soft decision cooperative spectrum sensing method for cognitive wireless sensor network(CRSN) based on entropy weight method. The method organized the sensor nodes into logical groups to improve energy efficiency and sensing performance. After receiving the soft sensing information from all member nodes, the cluster head used the equal gain soft fusion to fuse among clusters, and then forwarded the local decision to the fusion center. In the final decision-making process, this paper used the entropy weight method to assign the optimal weight to the corresponding clustering local decision. Simulation results show that this method is superior to the typical cooperative spectrum sensing clustering scheme in terms of detection probability and total error probability.

Foundation Support

江苏省重点研发计划资助项目(BE2021716)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.04.0155
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 11
Section: Technology of Network & Communication
Pages: 3432-3435,3449
Serial Number: 1001-3695(2022)11-037-3432-04

Publish History

[2022-06-21] Accepted Paper
[2022-11-05] Printed Article

Cite This Article

林佶, 李骏慧. 基于熵权法的CRSN软决策协作频谱感知方法 [J]. 计算机应用研究, 2022, 39 (11): 3432-3435,3449. (Lin Ji, Li Junhui. Cooperative spectrum sensing method for CRSN soft decision based on entropy weight method [J]. Application Research of Computers, 2022, 39 (11): 3432-3435,3449. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.


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