Abstract
Cognitive radio sensor network (CRSN) is an intelligent and reasonable combination of cognitive radio and wireless sensor networks. Clustering is an effective method to manage the network topology of CRSN. In order to solve the optimal cluster head selection problem in clustering which is proved to be NP-hard, inspired by ions motion optimization (IMO) algorithm, a novel centralized clustering routing protocol, i.e., IMO-based clustering routing protocol (IMOCRP) which can adapt to the dynamic characteristics of CRSN is presented in this paper. Optimal number of clusters and identity of cluster heads are automatically determined by combining the excellent characteristics of IMO algorithm and the rich resource, comprehensive information at the sink together. Thanks to its centralized structure, IMOCRP proposed in this paper avoids excessive overhead in cluster head selection and cluster formation, which in turn helps conserve energy. Available channel list at each living node is taken into consideration to perform reasonable channel allocation for clusters, and the probability of collisions with primary users can be reduced, which promotes more successful information delivery. Simulation results have shown that IMOCRP can balance network lifetime and effective information collection capability, and it is superior to other competing protocols.
Highlights
Cognitive radio sensor network (CRSN) is an intelligent and reasonable combination of cognitive radio (CR) and wireless sensor networks (WSNs) [1]
In order to further substantiate the superiority of our proposed IMO-based clustering routing protocol (IMOCRP), we improved Fuzzy C-means and ABCC by performing spectrum sensing at the beginning of each round and taking channel availability into account while forming clusters and selecting cluster channel
From the clustering results of IMOCRP, we can see that many CRSN nodes become separate cluster head (CH) without any cluster member (CM), especially when the sink is located at the center
Summary
Cognitive radio sensor network (CRSN) is an intelligent and reasonable combination of cognitive radio (CR) and wireless sensor networks (WSNs) [1]. Data aggregation at cluster head (CH) reduces the number of data transmissions throughout the whole network, and fewer data transmissions mean lower energy consumption and smaller probability of collisions with PUs. cooperative spectrum. In view of its importance in improving network performance, clustering routing protocol design for CRSN has become a hot research area which is wildly concerned by scholars [5]. CH selection, optimal number of clusters and reasonable channel allocation are three important aspects in clustering routing protocol design for CRSN. Optimal number of clusters: Factors such as node deaths (caused by running out of energy) or transitions in PUs’ channel occupancy state will lead to network topology changes in CRSN, the optimal number of.
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