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

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

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...

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Bibliographic Details
Main Authors: Shunchao Zhang, Yonghua Wang, Pin Wan, Jiawei Zhuang, Yongwei Zhang, Yi Li
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Cognitive radio
robust cooperative spectrum sensing
sensing data fusion
K-medoids clustering algorithm
Mean-shift clustering algorithm
Online Access:https://ieeexplore.ieee.org/document/8947940/

Internet

https://ieeexplore.ieee.org/document/8947940/

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