Simulation of the multi-node anomalous localization method of the Internet of Things under particle swarm optimization
In order to improve the accuracy and efficiency of abnormal location of Internet of Things nodes and improve the security of Internet of Things system,a multi-node abnormal location method of Internet of Things based on particle swarm optimization was proposed.Construct an objective function on the basis of setting the node data of the Internet of Things,and obtain a particle fitness vector.The optimal particle orientation is obtained by controlling the chaos vector disturbance,and the historical optimal solution of particle swarm is updated.The kernel function is used to calculate the effective value of particle communication efficiency of Internet of Things nodes,and the multi-node anomaly location of Internet of Things is completed.The experimental results show that the positioning accuracy of the proposed method is high,and the positioning accuracy of abnormal nodes is higher than 95％.The positioning delay is short,and 3000 IoT nodes can be detected in 1.5 ms.The positioning stability is good,and the results can be given stably within 500 experiments,and the accuracy rate reaches 98.5％.
particle swarm algorithmInternet of Thingsmulti-node anomalynode location method
NETL
NSTL
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