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Clustering Based Routing Algorithm For Cognitive Radio Sensor Networks

Posted on:2020-09-26Degree:MasterType:Thesis
Country:ChinaCandidate:P WuFull Text:PDF
GTID:2428330599960214Subject:Information and Communication Engineering
Abstract/Summary:PDF Full Text Request
Cognitive Radio Sensor Networks(CRSN)is a new direction in the development of wireless sensor networks(WSN)in recent years.At the same time,CRSN also faces energy limitation and spectrum management problems.Due to the limitations of traditional WSN routing protocols and cognitive radio network(CRN)routing protocols,designing a routing protocol that can be applied to CRSN has become one of the hotspots of current research.Based on the CRSN background,this paper conducts the following research on node energy balance and spectrum allocation.Based on the existing clustering routing protocol,this paper optimizes the clustering algorithm and simulates the feasibility and performance of the improved algorithm.Firstly,through the study of typical clustering routing algorithms such as CogLEACH,DSAC and EACRP,advantages and disadvantages of clustering method and cluster head selection mechanism are analyzed.In order to balance the energy consumption of nodes in the network,this chapter propose a spectrum aware cluster based routing protocol(SACRP).By adding the node energy threshold,the cluster head election weight is improved,and the cluster head election mechanism is further optimized.On the basis of ensuring the node to allocate the channel reasonably,the node energy consumption is balanced and the network life is prolonged.Secondly,based on the cognitive radio network confluence tree routing protocol CTRP,combined with the sensor node energy level,an energy balanced CRSN confluence tree routing protocol(EBTRP)is proposed.Based on the clustering algorithm,the routing protocol takes the base station as the root node,the cluster head node establishes the tree structure for the child nodes,and constructs the cost function of the path selection by combining the energy and the delay factor.The EBTRP algorithm can balance the node energy and network delay to make the best parent node selection and communication channel management.The experimental results show that the protocol optimizes the network delay and increases the network lifetime.Finally,for the variability of the CRSN spectrum environment and the impact on the communication channel of the node,a route recovery module is added on the basis of EBTRP,so that the node selects other alternate paths to recover data transmission when the channel is occupied in the communication process.Experiments show that the route recovery function effectively increases the data reception throughput of the base station and optimizes the network communication efficiency.
Keywords/Search Tags:cognitive wireless sensor network, clustering routing, confluence tree, network delay, energy balancing
PDF Full Text Request
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