传感技术学报2025，Vol.38Issue(4)：711-716,6.DOI:10.3969/j.issn.1004-1699.2025.04.019
多模态无线传感网络节点流量异常自调节研究
Research on Node Traffic Anomaly Self Adjustment in Multimodal Wireless Sensor Networks
摘要
Abstract
In multimodal wireless sensor networks,because the nodes need to face complex data transmission environment and bandwidth restrictions in laboratory,the communication between nodes is limited to a certain extent,which makes it difficult to distinguish node traffic anomalies by different thresholds of multiple modes,resulting in difficult self-regulation.A study of node traffic anomaly self-regulation for multimode wireless sensor networks is presented.The position of nodes is determined by the topological displacement rela-tionship between nodes and neighboring nodes and the positioning model,and the positioning error is corrected and controlled by the spin threshold.Through node positioning and multi-modal data analysis,the abnormal nodes are identified by the calculation of abnormal probability and the weight coefficient of the standard deviation of traffic data.Spatial correlation is used to verify the traffic source of ab-normal nodes,the virtual cost of nodes is calculated and the queue length is estimated,the traffic is regulated and congestion is avoided.Through the independent adjustment between nodes,the abnormal traffic is controlled and regulated.The simulation analysis results show that the proposed method has good adjustment effect and little influence on the network topology during adjustment.The total num-ber of nodes self-healing is less than 70,and the maximum node coverage radius is only 290 mm.The node traffic anomaly positioning accuracy is high,and the average positioning error is always below 0.05.关键词
实验室/多模态无线传感网络/拓扑位移/节点自旋阈值/偏导数/流量异常概率Key words
laboratory/multimodal wireless sensor network/topological displacement/node spin threshold/partial derivative/probability of abnormal traffic分类
计算机与自动化引用本文复制引用
赵伟娜,马凯..多模态无线传感网络节点流量异常自调节研究[J].传感技术学报,2025,38(4):711-716,6.基金项目
江苏省教育厅高校哲学社会科学研究思政专项项目(2018SJSZ291) （2018SJSZ291）
