Research On Clustering Routing Algorithm For Cognitive Wireless Sensor Networks

As a current research hotspot,cognitive radio sensor network is a multi-domain integrated distributed network,which is evolved from traditional wireless sensor network combined with cognitive technology.Numerous cognitive radio sensor network application scenarios,jointly by numerous technical maintenance,including cognitive ability,the routing algorithm design is the key to maintain its stability performance technology,spectrum sensing as one of the core of the cognitive technology determines the practicability of the whole network and use value,determines the life cycle of the whole network routing algorithm design.Introducing cognitive capability of cognitive radio into routing algorithm of wireless sensor network can effectively relieve the pressure of spectrum resources and improve the practicability of network.The design of routing algorithm suitable for cognitive wireless sensor network has become a hot research topic.The paper studies the clustering routing algorithm of cognitive radio sensor network,in the current stage of cognitive wireless sensor network technology research,to solve the problem of complex spectrum sensing method and the design of routing algorithm can be more optimized.The research content and results of the thesis are mainly divided into the following three parts:(1)Firstly,the spectrum sensing technology of cognitive wireless sensor network is studied,and a collaborative spectrum sensing model under clustering structure is adapted.This model lays the foundation of cognitive technology combined with wireless sensor network for the following cluster routing algorithm research.By analyzing the detection probability,false alarm probability and communication energy consumption in collaborative spectrum sensing mode,the optimal number of clusters is provided for the study of routing algorithm.(2)Secondly,an improved and stable election routing algorithm suitable for CRSN is proposed for dense sensor networks,aiming at the problems of unreasonable cluster head election and lax clustering mode in the design of clustering routing algorithm of cognitive WSN.The clustering head selection method is improved,and a stable and low-load clustering structure is designed by combining the dual energy threshold and the new clustering mechanism.The simulation results show that the algorithm can effectively reduce the overall energy consumption and improve the life cycle of the network under the premise of ensuring the spectrum sensing accuracy.(3)Finally,in view of the problem that the data transmission path selection is not standardized and the multi-hop selection can be more optimal in the design of the cluster routing algorithm for cognitive wireless sensor networks,a multi-hop multi-path cognitive analysis with balanced energy consumption is proposed for sparse sensor networks.Layer routing algorithm,the algorithm first determines the better candidate cluster head,and then selects the cluster head according to the spectrum energy level of the candidate cluster head,and optimizes the cluster structure.The routing request is broadcast through the common control channel,and multiple candidate paths are received.Subsequently,the transmission path was optimized by comparing the communication cost.The simulation result analysis shows that the cluster structure of the algorithm is reasonable,the transmission path is better,the energy consumption is balanced,and the network is more stable.