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Clustering Algorithm-Based Data Fusion Scheme for Robust Cooperative Spectrum Sensing

文献类型：期刊论文

作者Zhang, Shunchao1; Wang, Yonghua1,2; Wan, Pin1,3; Zhuang, Jiawei1; Zhang, Yongwei1; Li, Yi1
刊名IEEE ACCESS
出版日期2020
卷号8页码:5777-5786
关键词Cognitive radio robust cooperative spectrum sensing sensing data fusion K-medoids clustering algorithm Mean-shift clustering algorithm
ISSN号2169-3536
DOI10.1109/ACCESS.2019.2963512
通讯作者Wang, Yonghua(wangyonghua@gdut.edu.cn)
英文摘要In a centralized cooperative spectrum sensing (CSS) system, it is vulnerable to malicious users (MUs) sending fraudulent sensing data, which can severely degrade the performance of CSS system. To solve this problem, we propose sensing data fusion schemes based on K-medoids and Mean-shift clustering algorithms to resist the MUs sending fraudulent sensing data in this paper. The cognitive users (CUs) send their local energy vector (EVs) to the fusion center which fuses these EVs as an EV with robustness by the proposed data fusion method. Specifically, this method takes a Medoids of all EVs as an initial value and searches for a high-density EV by iteratively as a representative statistical feature which is robust to malicious EVs from MUs. It does not need to distinguish MUs from CUs in the whole CSS process and considers constraints imposed by the CSS system such as the lack of information of PU and the number of MUs. Furthermore, we propose a global decision framework based on fast K-medoids or Mean-shift clustering algorithm, which is unaware of the distributions of primary user (PU) signal and environment noise. It is worth noting that this framework can avoid the derivation of threshold. The simulation results reflect the robustness of our proposed CSS scheme.
WOS关键词MALICIOUS USER DETECTION ; PERFORMANCE
资助项目Special Funds from the National Natural Science Foundation of China[61971147] ; Central Finance to Support the Development of Local Universities[400170044] ; Central Finance to Support the Development of Local Universities[400180004] ; State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences[20180106] ; Foundation of Key Laboratory of Machine Intelligence and Advanced Computing of the Ministry of Education[MSC-201706A] ; School-Enterprise Collaborative Education Project of Guangdong Province[PROJ1007512221732966400] ; Foundation of National and Local Joint Engineering Research Center of Intelligent Manufacturing Cyber-Physical Systems[008] ; Guangdong Provincial Key Laboratory of Cyber-Physical Systems[008] ; Higher Education Quality Projects of Guangdong Province ; Guangdong University of Technology
WOS研究方向Computer Science ; Engineering ; Telecommunications
语种英语
WOS记录号WOS:000524682100003
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
资助机构Special Funds from the National Natural Science Foundation of China ; Central Finance to Support the Development of Local Universities ; State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences ; Foundation of Key Laboratory of Machine Intelligence and Advanced Computing of the Ministry of Education ; School-Enterprise Collaborative Education Project of Guangdong Province ; Foundation of National and Local Joint Engineering Research Center of Intelligent Manufacturing Cyber-Physical Systems ; Guangdong Provincial Key Laboratory of Cyber-Physical Systems ; Higher Education Quality Projects of Guangdong Province ; Guangdong University of Technology
源URL[http://ir.ia.ac.cn/handle/173211/38922]  
专题自动化研究所_复杂系统管理与控制国家重点实验室
通讯作者Wang, Yonghua
作者单位1.Guangdong Univ Technol, Sch Automat, Guangzhou 510006, Peoples R China
2.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
3.South Cent Univ Nationalities, Hubei Key Lab Intelligent Wireless Commun, Wuhan 430074, Peoples R China
推荐引用方式
GB/T 7714		 Zhang, Shunchao,Wang, Yonghua,Wan, Pin,et al. Clustering Algorithm-Based Data Fusion Scheme for Robust Cooperative Spectrum Sensing[J]. IEEE ACCESS,2020,8:5777-5786.
APA Zhang, Shunchao,Wang, Yonghua,Wan, Pin,Zhuang, Jiawei,Zhang, Yongwei,&Li, Yi.(2020).Clustering Algorithm-Based Data Fusion Scheme for Robust Cooperative Spectrum Sensing.IEEE ACCESS,8,5777-5786.
MLA Zhang, Shunchao,et al."Clustering Algorithm-Based Data Fusion Scheme for Robust Cooperative Spectrum Sensing".IEEE ACCESS 8(2020):5777-5786.

入库方式： OAI收割

来源：自动化研究所

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