Deep Mining Method of Anomaly Nodes in Wireless Sensing Network Based on Big Data Technology
Due to the irregularity of node distribution in wireless sensor network,it is difficult to effectively control the positioning error of abnormal nodes.Therefore,the deep mining method of abnormal nodes in wireless sensor network based on big data technology is proposed.On the premise that all nodes are distributed within the scope of the target area,the wireless sensor network networking model is constructed,the relationship between the abnormal node and the network center node of the network is set up.Then,the neighborhood search algorithm in big data technology is adopted to conduct in-depth mining and positioning of the specific network abnormal node locations.The experimental results show that the abnormal node location error of the deep mining method of abnormal node in wireless sensor network based on big data technology is stable within 2.0 under different noise states.
big data technologywireless sensor networkabnormal nodesdeep miningneighborhood search algorithm
万方数据
维普
