Cognitive Clustering Routing Algorithm for Heterogeneous Wireless Sensor Networks

Abstract

The application of CRSN (Cognitive Radio Sensor Networks) can alleviate the shortage of spectrum resources. As one of the core technologies of WSNs (Wireless Sensor Networks), routing algorithm is important to the overall performance of the network. Therefore, a cognitive clustering routing algorithm for Heterogeneous WSNs is proposed. The algorithm is suitable for cooperative communication networks between cognitive sensor nodes and common sensor nodes. Selecting a cluster head according to the number of idle channels and the residual energy of the node. Protect low-energy nodes and make full use of high-energy nodes by setting double energy thresholds. The concept of node edge degree is applied to improve the probability of cluster selection. A new clustering mechanism is introduced according to the node location. Compared to the original algorithm, the improved algorithm of the original algorithm, and the existing routing algorithm for CRSN, the simulation results show that the network life cycle and the data transmission amount is significantly increased.