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

Zhang, Shunchao; Wang, Yonghua; Wan, Pin; Zhuang, Jiawei; Li, Yang

doi:10.1109/access.2019.2963512

Cited by 29 publications

(20 citation statements)

References 30 publications

(36 reference statements)

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“…The efficacy of the program, better for hospital decision-making management, medical, scientific research, and teaching services, has become a very important research topic. Rough sets are widely used, including a variety of logical, mathematical, and philosophical aspects of rough sets [ 17 , 18 ]. Rough sets are also associated with many other methods and are also associated with a very broad hybrid system.…”

Section: Introductionmentioning

confidence: 99%

Key Technology of the Medical Image Wise Mining Method Based on the Meanshift Algorithm

Cui

Wang

2022

Emergency Medicine International

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Mean-shift originally refers to the mean vector of the offset. The algorithm idea is to assume that the data sets of different clusters conform to different probability density distributions, and the area with high sample density corresponds to the center of the cluster. With the wide application of hospital information system, especially the popularity of the meanshift algorithm in the outpatient system, it has greatly improved the efficiency of medical staff. Medical imaging refers to the technology and process of obtaining internal tissue images of the human body or a certain part of the human body in a noninvasive manner for medical treatment or medical research. It contains the following two relatively independent research directions: medical imaging system and medical image processing. In this paper, we expect to improve the mining ability of medical image information with the help of the meanshift algorithm based on the key technology of the medical image intelligent mining algorithm. This paper proposes a method to enhance image feature extraction and data mining and how to apply relevant analysis rules for mining. Applying this integrated algorithm to extract simplified rules is more beneficial to people’s understanding than the raw data and helps doctors quickly understand the patient’s condition.

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Section: Introductionmentioning

confidence: 99%

Key Technology of the Medical Image Wise Mining Method Based on the Meanshift Algorithm

Cui

Wang

2022

Emergency Medicine International

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“…Cooperative also can work for wide coverage areas where it offers a reliable answer to the hidden-terminal issue since SUs are apart by a larger distance than the correlated (shadow, fading) distance which this distance makes it unlikely for two SUs to be shadowed instantaneously from the PUs. related works on cooperative cognitive radio sensing among users [39,40] have investigated methods where cooperative detection has exploited all users in the cognitive radio network (CRN). Literature proofed that this scheme vitally enhanced the detection reliability of PU activity.…”

Section: Main Aim and Contributionmentioning

confidence: 99%

Cooperative Fusion Architecture-based Distributed Spectrum Sensing Under Rayleigh Fading Channel

Mokhtar

Saeed

Alhumyani

2022

Wireless Pers Commun

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Cognitive radio (CR) is one of the most promising technology soon due to the scarcity of the spectrum, especially at microwave band. CR faces massive resistance from the industry because of the potential interference caused by the secondary users. Spectrum sensing forms an important functionality for CR systems. However, such detection performance is usually compromised by shadowing and fading channel conditions. Cooperative sensing is one of the crucial solutions to overcome degraded detection performance. To improve the sensing performance and reduce the reporting error, a distributed architecture for processing and fusion of sensing information is proposed in this work. In dense network scenarios, the decision fusion for cooperated users could be complex and reported sensing traffic may require large bandwidth. This paper proposes a new distributed detection and adapted threshold based on controlled false alarm probability to improve sensing reliability and efficiency in a highly Rayleigh faded environment. A distributed detection is developed by selecting fusion nodes (FN) that are dynamically selected from a group of nodes. The detection threshold is calculated adaptively using the link quality indicator (LQI) of the sensing channel. Moreover, the proposed method can significantly minimize the typically transmitted bits in the reporting channel. The paper also discussed in detail the design parameter of the CR number on the performance of fusion values. The simulation analysis shows that the performance of the distributed cooperative sensing (DCS) process is considerably improved by the adapted threshold.The numerical results demonstrated that the error was remarkably minimized. The ROC curve of the sensing process is notably improved for detection probability and false alarm probability, respectively. Finally, it was shown that the requirement of sensitivity can be greatly improved up to 0.95.

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“…Although cooperation enhances spectrum-sensing performance, CSS is vulnerable to contamination by spectrum sensing data falsification (SSDF) attackers [8][9][10][11] , also known as malicious secondary users (MSUs). They degrade the performance of CSS by reporting falsified sensing results [12] .…”

Section: Introductionmentioning

confidence: 99%

Joint Spectrum Sensing and Spectrum Access for Defending Massive SSDF Attacks: A Novel Defense Framework

Sun

Guo

et al. 2022

Chinese J of Electronics

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Multiple secondary users (SUs) perform collaborative spectrum sensing (CSS) in cognitive radio networks to improve the sensing performance. However, this system severely degrades with spectrum sensing data falsification (SSDF) attacks from a large number of malicious secondary users, i.e., massive SSDF attacks. To mitigate such attacks, we propose a joint spectrum sensing and spectrum access framework. During spectrum sensing, each SU compares the decisions of CSS and independent spectrum sensing (IndSS), and then the reliable decisions are adopted as its final decisions. Since the transmission slot is divided into several tiny slots, at the stage of spectrum access, each SU is assigned with a specific tiny time slot. In accordance with its independent final spectrum decisions, each node separately accesses the tiny time slot. Simulation results verify effectiveness of the proposed algorithm.

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

Cited by 29 publications

References 30 publications

Key Technology of the Medical Image Wise Mining Method Based on the Meanshift Algorithm

Key Technology of the Medical Image Wise Mining Method Based on the Meanshift Algorithm

Cooperative Fusion Architecture-based Distributed Spectrum Sensing Under Rayleigh Fading Channel

Joint Spectrum Sensing and Spectrum Access for Defending Massive SSDF Attacks: A Novel Defense Framework

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