… (dimensions) and layout algorithms (VOSviewer) … spectrum source, with spectrum sensing
optimizing cognitive radio network operations, opportunistic spectrum access and sensing …

… Decomposition algorithm and K-means clustering algorithm is … algorithm and the wavelet
threshold algorithm are used to … the spectrum sensing signal, and K-means clustering algorithm …

… algorithm can improve the spectrum sensing performance than the traditional algorithm …
the performance of the improved cluster-based spectrum sensing algorithm. And now we verify …

… In these sensing data fusion methods, they fuse EVs from CUs as an EV with robustness for
… considers spectrum sensing as a two-class classification problem in clustering algorithm. …

… instead of all member nodes greatly reduces the energy consumption of spectrum sensing
… the traditional spectrum-aware clustering algorithms and our proposed algorithm has been …

… algorithm in the case of a small number of secondary users participating in cooperative
spectrum sensing. … use the clustering algorithm to train and perform spectrum sensing based on …

… application of clustering algorithms in spectrum sensing, such as kernel fuzzy c-means
clustering (… It is hoped that the spectrum sensing performance can be further effectively improved. …

… IGK algorithm to achieve spectrum sensing. The structure of CSS based on IGK algorithm
is illustrated in Fig. 2. The SUs collect sensing signals from a specific licensed spectrum and …

… Consequently, we propose a clustering based scheme for spectrum sensing in CR-WSN, …
less nodes in spectrum sensing. With our improved clustering algorithm, sensor nodes are …

… clustering algorithms, ie, the Kmeans clustering and the GMM, to CSS. After training by using
these clustering algorithms, … , the classifier finds out which cluster the test energy vector …