A Reputation framework with Multiple-threshold Energy Detection in Wireless Cooperative Systems

2020 ◽  
Author(s):  
Yingkun Wen ◽  
Yan Huo ◽  
Tao Jing ◽  
Qinghe Gao
Keyword(s):  
Threshold Energy ◽  
Energy Detection ◽  
Cooperative Systems ◽  
Multiple Threshold ◽  
Wireless Cooperative Systems

An Algorithm Based on Double-Threshold Energy Detection in Cognitive Radio

2014 ◽  
Vol 643 ◽  
pp. 105-110
Author(s):  
Yuan Li ◽  
Jia Yin Chen ◽  
Xiao Feng Liu ◽  
Ming Chuan Yang
Keyword(s):  
Cognitive Radio ◽  
False Alarm ◽  
Spectrum Sensing ◽  
Mathematical Proof ◽  
Threshold Energy ◽  
Energy Detection ◽  
Probability Of Detection ◽  
Threshold Detection ◽  
Probability Of False Alarm ◽  
Double Threshold

Aiming at the situation where the double-threshold detection has been widely used without complete mathematical proof and condition of application, this paper proves its correctness under the circumstance of spectrum sensing, and circulates the condition where this method can work. The proof and simulation show that, comparing with traditional energy detection, this method can increase the probability of detection by 27% to 42% at most when the SNR is between-15dB and-2dB, while the probability of false alarm is increased by less than 2%.

scholarly journals Energy Optimized Cooperative Spectrum Sensing in Cognitive Network

2019 ◽  
Vol 8 (11) ◽  
pp. 3316-3319
Keyword(s):  
Spectrum Sensing ◽  
Cooperative Spectrum Sensing ◽  
Threshold Energy ◽  
Energy Detection ◽  
Dynamic Spectrum ◽  
Spectrum Allocation ◽  
Dynamic Threshold ◽  
Cognitive Network ◽  
Spectrum Scarcity ◽  
Detection Schemes

The spectrum scarcity problem is addressed by number solutions by various researchers in cognitive network field. The dynamic spectrum allocation using cooperative spectrum sensing is required to analyze with respect to errors present in detection due to fixed threshold. The spectrum allocation on the basis of demand may involve the priority based requests for spectrum allocation. The contribution of this paper is for evaluating the performance of dynamic threshold energy detection schemes which are error dependent and hence minimization of errors. The performance evaluation of two methods with error minimization strategy are evaluated and results are compared to know the performance oriented dependency parameters in dynamic threshold methods and to provide the platform strategy for energy optimization in cooperative sensing.

scholarly journals Trustworthy Jammer Selection with Truth-Telling for Wireless Cooperative Systems

2021 ◽  
Vol 2021 ◽  
pp. 1-17
Author(s):  
Yingkun Wen ◽  
Tao Jing ◽  
Qinghe Gao
Keyword(s):  
Dominant Strategy ◽  
Cooperative Systems ◽  
Numerical Results ◽  
Reverse Auction ◽  
Truth Telling ◽  
Constant Power ◽  
Selection Scheme ◽  
Trust Degree ◽  
Additive Increase ◽  
Wireless Cooperative Systems

In this paper, we propose a trustworthy friendly jammer selection scheme with truth-telling for wireless cooperative systems. We first utilize the reverse auction scheme to enforce truth-telling as the dominant strategy for each candidate friendly jammer. Specifically, we consider two auction cases: (1) constant power (CP) case and (2) the utility of the BS maximization (UBM) case. In both cases, the reverse auction scheme enforces truth-telling as the dominant strategy. Next, we introduce the trust category and trust degree to evaluate the trustworthiness of each Helper transmitter (Helper-Tx). Specifically, an edge controller calculates the reputation value of each Helper-Tx periodically using an additive-increase multiplicative-decrease algorithm by observing its jamming behavior. With the historical reputation values, the edge controller (EC) classifies a Helper-Tx into one of four trust categories and calculates its trust degree. Then, the EC selects the best Helper-Tx based on the trust category and trust degree. Lastly, we present numerical results to demonstrate the performance of our proposed jammer selection scheme.

scholarly journals Performance of Threshold Detection in Cognitive Radio with Improved Otsu’s and Recursive One-Sided Hypothesis Testing Technique

2019 ◽  
Vol 8 (9S3) ◽  
pp. 343-346
Keyword(s):  
Cognitive Radio ◽  
Hypothesis Testing ◽  
Threshold Energy ◽  
Energy Detection ◽  
Adaptive Threshold ◽  
Spectrum Efficiency ◽  
Threshold Estimation ◽  
Testing Technique ◽  
Noise Statistics ◽  
Signal Threshold

Cognitive radio (CR) is a new technology proposed to enhance spectrum efficiency by enabling unlicensed secondary users to access the licensed frequency bands without getting involved with the primary users licensed. Although considered optimal, in order to calculate the signal threshold, this approach requires prior noise statistics information. Even though considered optimal, in order to calculate the signal threshold, this approach requires prior noise statistics information. A prominent example of an Adaptive Threshold Estimation Technique (ATT) for energy detection in Cognitive Radio (CR) is the Recursive One-sided Hypothesis Testing Technique (ROHT). Accurate threshold values are known to be calculated based on the correct choice of their parameter values, which include the standard deviation coefficient and the stop criteria. In this paper, for efficient threshold estimation, the improved Otsu and ROHT are combined for estimating threshold even in the presence of noise floor without need of prior knowledge. The proposed methodology for enactment in cognitive radio sensor networks (CRSN) system based on the adaptive threshold energy detection model with noise variance estimation. The simulation is carried out with the help of Matlab 2017a with the improved Otsu and ROHT techniques. The results obtained shows that improved Otsu and ROHT techniques outperforms that of fixed threshold energy detection in terms of different probability of false alarm rates and miss detections

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