Research On Security Localization Technology For Wireless Sensor Networks In Complex Environment

Wireless sensor network is the basis of Internet of Things and is widely used in various fields such as aerospace,industrial control,health,environmental monitoring,etc.Determining the location of nodes in the network is an important basis of wireless sensor network operation,management and application.How to obtain real-time position information of nodes in a secure and reliable way is one of the key problems that must be solved by WSN researchers.This paper focuses on the research of WSN security location technology in complex environment.Firstly,for the situation that the network nodes are susceptible to malicious intrusion or interference,which makes the collected data deviate in complex environment,this paper proposes a 3D localization algorithm named 3D-LE-RLPCCA.The algorithm is put forward on the basis of the RLPCCA model and the two-dimensional localization algorithm grounded on RLPCCA,and is based on Robust Local Preserving Canonical Correlation Analysis.The mapping model is established by fully exploiting the topological relations and density information of signal space and physical space,which can effectively reduce positioning error caused by abnormal situation.In order to improve positioning accuracy,the algorithm is constrained by the coplanarity and volume ratio when calculating the best positioning unit.Simulation results show that the algorithm is robust and can improve the localization accuracy of the three-dimensional localization algorithm and save node energy in the network.In the study of mobile WSN positioning technology,aiming at the situation where the node data are corrupted due to the influence of obstacle,malicious attack and other factors,we propose a mobile WSN secure location algorithm based on adaptive path model(MSLAP).Firstly,the obstacle avoidance path is designed for the mobile anchor node,which avoids the influence of the obstacle on the node location.In addition,malicious node detection model is adopted to eliminate malicious nodes in the network,so as to ensure the accuracy of the node data.Furthermore,an unknown node coordinate calculation algorithm is designed according to the adaptive path model.Simulation results show that the MSLAP algorithm has better robustness,which can improve not only the positioning accuracy,but also the location coverage.Finally,this paper extends the simulation platform OMNeT ++ and realizes the WSN security positioning simulation platform based on OMNeT ++.The 3D-LE-RLPCCA algorithm and the MSLAP algorithm are then realized on the platform.