An efficient intrusion detection system for cognitive radio networks with improved fuzzy logic based spectrum utilization

2021 ◽  
Author(s):  
V. Sangeetha ◽  
A. Prakash
Keyword(s):  
Fuzzy Logic ◽  
Cognitive Radio ◽  
Intrusion Detection ◽  
Cognitive Radio Networks ◽  
Intrusion Detection System ◽  
Detection System ◽  
Radio Networks ◽  
Spectrum Utilization

scholarly journals Optimal linear weighted cooperative spectrum sensing for clustered-based cognitive radio networks

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Haiyan Ye ◽  
Jiabao Jiang
Keyword(s):  
Cognitive Radio ◽  
Spectrum Sensing ◽  
Cognitive Radio Networks ◽  
Cooperative Spectrum Sensing ◽  
Radio Networks ◽  
Spectrum Utilization ◽  
Channel Characteristics ◽  
Optimal Linear ◽  
Static Division ◽  
Cooperative Nodes

AbstractThe lack of spectrum resources restricts the development of wireless communication applications. In order to solve the problems of low spectrum utilization and channel congestion caused by the static division of spectrum resource, this paper proposes an optimal linear weighted cooperative spectrum sensing for clustered-based cognitive radio networks. In this scheme, different weight values will be assigned for cooperative nodes according to the SNR of cognitive users and the historical sensing accuracy. In addition, the cognitive users can be clustered, and the users with the better channel characteristics will be selected as cluster heads for gathering the local sensing information. Simulation results show that the proposed scheme can obtain better sensing performance, improve the detection probability and reduce the error probability.

On Fuzzy Logic-Based Channel Selection in Cognitive Radio Networks

2015 ◽  
pp. 255-274 ◽  
Author(s):  
Yong Yao ◽  
Alexandru Popescu ◽  
Adrian Popescu
Keyword(s):  
Fuzzy Logic ◽  
Cognitive Radio ◽  
Cognitive Radio Networks ◽  
Environmental Changes ◽  
Radio Channel ◽  
New Technology ◽  
Channel Selection ◽  
Decision Criterion ◽  
Radio Networks ◽  
Competition Level

Cognitive radio networks are a new technology based on which unlicensed users are allowed access to licensed spectrum under the condition that the interference perceived by licensed users is minimal. That means unlicensed users need to learn from environmental changes and to make appropriate decisions regarding the access to the radio channel. This is a process that can be done by unlicensed users in a cooperative or non-cooperative way. Whereas the non-cooperative algorithms are risky with regard to performance, the cooperative algorithms have the capability to provide better performance. This chapter shows a new fuzzy logic-based decision-making algorithm for channel selection. The underlying decision criterion considers statistics of licensed user channel occupancy as well as information about the competition level of unlicensed users. The theoretical studies indicate that the unlicensed users can obtain an efficient sharing of the available channels. Simulation results are reported to demonstrate the performance and effectiveness of the suggested algorithm.

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