Study On Clustering Routing Algorithm Based On Trust Node For Wireless Sensor Networks

Wireless sensor networks(WSNs)are network systems that collect,process and transmit information in the target area through many sensor nodes.Due to the harsh environment of nodes and the limitations of their own conditions,networks often experience data loss and energy waste caused by malicious nodes.Existing secure clustering routing methods usually use authentication encryption,which cannot solve the problem of attacks on internal nodes in the network.Therefore,this article adopts a node trust method to distinguish between normal nodes and malicious nodes,To address network security issues caused by internal nodes in the network,the specific content is as follows:(1)Propose a secure clustering routing protocol based on double layer fuzzy control and node trust(RPDFT)based on double-layer fuzzy control and node trust.Firstly,the trust values of nodes are described through Beta distribution,and the direct and indirect trust values of nodes are calculated separately,making the comprehensive trust value consideration more comprehensive and ensuring the accuracy of node trust evaluation.Secondly,a fuzzy control method is used for cluster head election.The fuzzy input includes the comprehensive trust value,node centrality,and node residual energy.The output is the opportunity value for the node to become a cluster head,thus obtaining a set of reliable and energy-saving cluster heads.At the same time,set trust threshold and energy threshold to control the number of election times for cluster heads,and then use another fuzzy controller for routing path selection.The remaining energy of the cluster head and the distance to the base station are used as inputs,and the output is the probability value of the cluster head becoming the next hop,thereby obtaining the optimal path from the cluster head node to the base station.Finally,simulation analysis was conducted on the proposed RPDFT in terms of packet loss rate,energy consumption,and other aspects.The results showed that compared to LEACH and LEACH-TR algorithms,RPDFT can reduce packet loss and extend the network lifecycle.(2)A clustering routing protocol for wireless sensor networks based on improved Yellow Saddle Goatfish Algorithm and trust mechanism(TYSGA)is proposed.Firstly,the trust model of the network was improved by introducing historical trust values of reward and punishment factors combined with direct and indirect trust values.Then,the dynamic step size strategy and the new fitness function are used to improve the Fei Ni booby optimization algorithm,and the cluster head election is conducted based on the improved algorithm.At the same time,the optimal path is selected through a fuzzy control system,with the remaining energy of the cluster head and the distance to the base station as inputs,and the probability value of the cluster head becoming the next hop is output.Finally,simulation analysis was conducted on the proposed TYSGA in terms of packet loss rate,throughput,and other aspects.The results showed that compared to RPDFT and NT-MFCRA algorithms,TYSGA can identify malicious nodes faster,balance network energy consumption,and improve network throughput.(3)A secure clustering routing protocol based on improved particle swarm optimization fuzzy control(FPSO-T)is proposed.Firstly,the trust model of the network is constructed by introducing indirect trust values of new reward and punishment factors,historical trust values of new volatility factors,and direct trust values of nodes.Then,the fuzzy logic system of particle swarm optimization is used to select cluster heads.Residual energy,comprehensive trust value,node degree,and distance to the center of mass are used as fuzzy inputs.Fuzzy rules are generated through PSO adaptively,and the output is the probability value of cluster heads,thus forming an optimized cluster.In the pathfinding phase,the Dijkstra algorithm is used to generate the optimal path from the base station to each cluster head.In the cluster maintenance phase,the on-demand clustering mechanism is used to rebuild the cluster.Finally,simulation analysis was conducted on the proposed FPSO-T in terms of packet loss rate,throughput,and other aspects.The results showed that compared to the TYSGA and SUCR-T algorithms,FPSO-T reduced network energy consumption,packet loss rate,and improved network reliability.This article innovatively proposes three secure clustering routing protocols to address the problems existing in existing secure clustering routing,which can effectively resist attacks from within the network,reduce network energy consumption,and extend network lifespan.This provides theoretical support for WSNs secure clustering routing and effective guarantee for the application and promotion of WSNs.