Partial cooperative spectrum sensing schedule in cognitive network

2009 ◽  
Vol 52 (12) ◽  
pp. 2332-2341 ◽  
Author(s):  
FangMin Xu ◽  
XuFeng Zheng ◽  
XiaoQiang Li ◽  
Zheng Zhou
Keyword(s):  
Spectrum Sensing ◽  
Cooperative Spectrum Sensing ◽  
Cognitive Network

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.

Efficient Cooperative Spectrum Sensing with Minimum Sensing Error Probability in Heterogeneous Cognitive Radio Networks

Frequenz ◽  
2012 ◽  
Vol 66 (7-8) ◽  
Author(s):  
Hang Hu ◽  
Ning Li ◽  
Youyun Xu
Keyword(s):  
Cognitive Radio ◽  
Spectrum Sensing ◽  
Cognitive Radio Networks ◽  
Error Probability ◽  
Cooperative Spectrum Sensing ◽  
Radio Networks ◽  
Decision Threshold ◽  
Cognitive Network ◽  
Secondary Users ◽  
Sensing Performance

AbstractTo improve the sensing performance, cooperation among secondary users can be utilized to collect space diversity. We focus on the optimization of cooperative spectrum sensing in which multiple secondary users efficiently cooperate to achieve superior detection accuracy with minimum sensing error probability in heterogeneous cognitive radio (CR) networks. Rayleigh fading and Nakagami fading are considered respectively in cognitive network I and cognitive network II. For each cognitive network, we derive the optimal randomized rule for different decision threshold. Then, the optimal decision threshold is derived according to the rule of minimum sensing error (MSE). MSE rule shows better performance on improving the final false alarm and detection probability simultaneously. By simulations, our proposed strategy optimizes the sensing performance for each secondary user which is randomly distributed in the heterogeneous cognitive radio networks.

scholarly journals An SETM Algorithm for Combating SSDF Attack in Cognitive Radio Networks

2020 ◽  
Vol 2020 ◽  
pp. 1-9 ◽  
Author(s):  
S. Tephillah ◽  
J. Martin Leo Manickam
Keyword(s):  
Cognitive Radio ◽  
Spectrum Sensing ◽  
Trust Management ◽  
Cooperative Spectrum Sensing ◽  
Radio Networks ◽  
Second Phase ◽  
Common Channel ◽  
Secondary Users ◽  
Management Algorithm ◽  
Different Types

Security is a pending challenge in cooperative spectrum sensing (CSS) as it employs a common channel and a controller. Spectrum sensing data falsification (SSDF) attacks are challenging as different types of attackers use them. To address this issue, the sifting and evaluation trust management algorithm (SETM) is proposed. The necessity of computing the trust for all the secondary users (SUs) is eliminated based on the use of the first phase of the algorithm. The second phase is executed to differentiate the random attacker and the genuine SUs. This reduces the computation and overhead costs. Simulations and complexity analyses have been performed to prove the efficiency and appropriateness of the proposed algorithm for combating SSDF attacks.

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