… different cognitive IoT architecture approaches, highlight IoT-… IoT network architectures for
spectrum sensing. We indicate the differences between IoT-oriented and conventional network …

… channels (for sensing) and its … spectrum sensing algorithm by leveraging a lightweight
yet effective adaptive medium learning method, namely probabilistic decay featured sensing (…

… spectrum sensing, we consider a cluster-based network with C channels and a control channel.
It is … This illustrates the superiority of multiband spectrum sensing approach proposed in …

… , which mainly rely on the energy based features, this paper proposes a novel approach …
in CRNs to obtain high spectrum sensing accuracy in changing network dynamics and with low …

… Assuming the nodes use hierarchical data acquisition and clustering approach to periodically
sensed its region and report to sink or destination. The acquisition data are transmitted to …

… In this paper, we focus more on the complete dynamic spectrum sensing approaches rather
… feature detection method is reliable method of spectrum sensing at low SNR as it possesses …

… sensing approach in relation to false alarm and detection probability, enhancing the
system throughput and energy efficiency. Cognitive radio and radar systems leverage …

… ED spectrum sensing technique which enhances the sensing duration of each unlicensed
CR-IoT user/… non-sequential ED spectrum sensing scheme. In addition, each unlicensed CR-…

… based Internet of Things and Wireless Sensors Networks are … Spectrum Sensing as a
Service, where the Internet of Things … SS using the traditional detection methods. The silence …

… In order to make better use of these advantages, we creatively propose a feature
detection-based spectrum sensing method for NOMA systems. To better distinguish the relationship …