Abstract
In cognitive wireless networks, multi-node cooperative spectrum sensing can effectively improve the accuracy of spectrum sensing, but there is a non-linear relationship between the number of nodes and sensing accuracy. Nodes with low reliability participate in cooperative sensing, which is not conducive to the improvement of sensing accuracy, and reduces the energy efficiency of spectrum sensing, which poses challenges to the normal operation of cognitive wireless networks. In order to improve energy efficiency and sensing performance, this paper proposes the node evaluation and scheduling (NES) algorithm and the Secure Spectrum Sensing based on Blockchain (SSSB) algorithm, which can evaluate the reliability of sensing nodes in real time, and obtain the trust value of the node. The nodes information is stored in the management center of blockchain. Blockchain encrypts nodes information to ensure that a node corresponds to its own trust value without confusion. Fusion Center of cognitive wireless networks select good performance nodes to participate in cooperative spectrum sensing. Which can reduce energy consumption while improving the sensing performance. The simulation experiment results show that the new algorithm in this paper is far superior to the traditional algorithm. Under the same other conditions, the detection probability is increased by 5%, and the energy consumption is reduced by 10%, and the safety index has also been greatly improved.
Highlights
With the ever-increasing demand for wireless communication, spectrum resources are becoming more and more tense [1], [2], but the spectrum utilization rate is relatively low [3], [4]
The algorithm still allows nodes to work in turn, and learns the sensing operation of each node, removing the nodes with large energy consumption to participate in the cooperative sensing, which can improve the energy-efficiency of cognitive wireless network
In the practical application scenarios of cognitive wireless networks, there are usually serious errors when the nodes sensing the data, which causes the sensing values to deviate from the normal range, or some nodes deliberately send the wrong data to the fusion center
Summary
With the ever-increasing demand for wireless communication, spectrum resources are becoming more and more tense [1], [2], but the spectrum utilization rate is relatively low [3], [4]. A review method is proposed to reduce the number of cooperative sensing nodes [15], so as to achieve the purpose of reducing energy consumption and communication overhead In this algorithm, nodes with low reliability can be removed, but the sensing performance of all nodes is considered to be unchanged. The algorithm still allows nodes to work in turn, and learns the sensing operation of each node, removing the nodes with large energy consumption to participate in the cooperative sensing, which can improve the energy-efficiency of cognitive wireless network. In order to simultaneously improve the energy efficiency and sensing accuracy of cognitive wireless networks, a secure spectrum sensing mechanism based on blockchain is proposed.
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