A Fast Localization Algorithm for Abnormal Nodes in Wireless Sensor Networks in the Mobile Internet of Things Environment
To improve the accuracy of abnormal node localization in wireless sensor networks,a fast localization algorithm for abnormal nodes in wireless sensor networks in mobile IoT environments is proposed.After processing the network signal through a high pass graph filter,the high-frequency components are obtained,and the heterogeneous hash network is divided by using the high-frequency components to determine the characteristic frequency components of the output signal corresponding to the subgraph.Abnormal nodes are detected by comparing the set of suspected abnormal nodes with the set of subgraph nodes.The number of hops between anchor nodes and unknown nodes is used to expand the area division,and the corresponding anchor node with the corresponding hop distance is selected to estimate the expansion distance.Abnormal factors are excluded through filtering and the global optimal solution is optimized to complete the locali-zation of abnormal nodes.The experimental results show that the proposed method can achieve accurate detection of abnormal nodes with a detection probability of over 99％,and the highest false alarm probability is only 0.02％.For different numbers of anchor nodes,communi-cation radius,and unknown nodes,the average positioning error is below 5％,which improves the practicality of the system.
mobile internet of things environmentwireless sensor networkabnormal nodesquick positioning
万方数据
维普
