Node Localization Algorithm Research Based On Compressive Sensing In Wireless Sensor Network

Wireless Sensor Networks(WSNs)node localization technology has been widely used in many fields such as environmental monitoring,battlefield detection,space exploration and so on.Although many mature node localization algorithms are available at present,many algorithms apply to different scenarios and have their own limitations.Therefore,it still needs to be further studied.On the basis of many traditional localization algorithms,the current scholars have been working on a node localization algorithm with high localization accuracy,low network cost and low power consumption.This paper mainly combines the theory of compressive sensing to study the node localization technology of wireless sensor networks in two different scenarios,namely the two-dimensional planar node localization technology under static beacon nodes and the three-dimensional sparse node localization technology under mobile beacon nodes.The node localization algorithm studied in this paper improves the localization accuracy,and is more suitable for different localization scenarios in reality.Specifically,the main work of this paper is mainly divided into the following two aspects:1.Research on node localization under static beacon nodeAiming at the problem of large error of the traditional rang-free localization algorithm,the compressive sensing theory is applied to the node localization of WSNs,and compared with the traditional rang-free node localization algorithm,the localization accuracy is improved.In order to solve the problem that the hop information obtained by the traditional algorithm is an integer,and a jump correction algorithm is proposed,which does not need to consume additional node energy,and further improves the localization accuracy.Simulation results show that the improved localization algorithm has better localization performance in the same beacon node proportion,the same node communication radius,the same total number of nodes and different localization environment.2.Research on node localization under mobile beacon nodeIn order to reduce the number of beacon nodes in the network and further expand the application scenario of node localization algorithm,this paper regards the GPS-equipped UAV as a mobile beacon node,and applies the two-dimensional wireless sensor network sparse target localization algorithm to the three-dimensional UAV node localization.The localization of the unknown node is achieved by the Signal Indication Strength(RSSI)between the UAV and the ground sensor node.The selection of the number of times the UAV transmits signals,the relationship between localization performance and SNR,the relationship between the localization performance and the number of unknown nodes,and the relationship between the localization performance and the flying height of the UAV are discussed.The simulation results show that the singular value decomposition(SVD)algorithm has better localization performance than the Orth algorithm.In addition,the localization performance influence of different compressive sensing reconstruction algorithms is analyzed from localization error and algorithm operation time.Finally,the flight path of the UAV is planned and simulated by the distribution of the beacon signal transmitted by the UAV,and the simulation shows the superiority of the scanning path in the comprehensive flight time and the localization accuracy.