A NOVEL CLUSTERING BASED SPECTRUM SENSING IN COGNITIVE RADIO WIRELESS SENSOR NETWORKS
The coordination issue in mobile Cognitive radio sensor networks (CRSNs), so here the proposed work a spectrum-aware clustering protocol to address the event-to-sink communication. The proposed clustering scheme consists of two phases. To determine the nodes eligible for clustering. According to vacant spectrum bands to form clusters. After the end of events clusters are not preserved and also they are temporary. And also study the performance of control and data packet exchange, time steps required for clustering, connectivity of clusters, energy consumed for clustering, and re-clustering ratio due to the mobility. The simulations show that the proposed algorithm has better performance in terms of connectivity and energy consumption. COGNITIVE solution for the electromagnetic spectrum scarcity radio technology has been proposed as a problem. Wireless nodes with cognitive radio (CR) capability can utilize the idle licensed bands opportunistically without any interference on primary users (PUs) Wireless sensor networks (WSNs) can benefit from this advantage of CR technology to overcome the spectrum scarcity challenge. To this end, a new wireless networking paradigm, cognitive radio sensor networks (CRSNs), has been proposed by enabling dynamic spectrum access (DSA) schemes in WSNs. A cognitive radio network automatically detects available channels in wireless spectrum, then accordingly changes its transmission or reception parameters to allow more concurrent wireless communications in a given spectrum band. Assigning of the free channels among primary and secondary users, in a specific geographic region while minimizing interference among all users is known as the Spectrum Allocation (SA) in cognitive radio networks.
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