Research On Target Localization And Tracking Technology Based On Wireless Sensor Network

As one of the most influential technology in the21st century,Wireless sensor networks (WSN)is affecting all aspects of human life.Node localization and target tracking are the vital problems in the research area and application area of WSN,among them,the node localization is the foundation and prerequisite for the target tracking.Due to the large scale of WSN,the limited hardware resoures,the adverse circumstance where WSN is deployed, the unrenewable and constrained power of sensor node and so on,it brings great challenges in the research on node localization and target tracking.Therefore,proposing more suitable localization algorithm and tracking algorithm for WSN under these conditions have been the hotspots which scholars at home and abroad studied.In order to improve the localization accuracy and tracking precision,and to reduce the tracking energy consumption for the localization algorithm and tracking algorithm,this paper puts forward some theoretical and practical algorithms on the basis of studying deeply the node localization algorithm and target tracking algorithm.The main works in the dissertation are summarized as follows:1. Aiming at the problem of low localization accuracy for approximate point-in-triangulation test (APIT) localization algorithm in WSN,an improved APIT algorithm(IAPIT) is proposed.The IAPIT algorithm combines the geometrical method which determines a point inside or outside the triangle with RSSI technology to present a new point test method.The new method overcomes the shortcoming of low localization accuracy which is caused by InToOut and OutToIn errors.To further improve the positioning accuracy,the IAPIT algorithm adopts the medium line to reduce the localization area of triangle in APIT algorithm, which solves the problem of localization error caused by large positioning area. Simulation results show that the IAPIT algorithm keeps higher localization accuracy than APIT algorithm under different anchor density and communication radius.2. Aiming at the defects of low tracking precision and high energy consumption during the target tracking,a target tracking algorithm based on dynamic clustering(EEDC-UPF) is put forward, which combines the dynamic clustering method with unscented particle filter(UPF).This algorithm firstly presents a new method of generating the dynamic cluster from the view of greatly saving energy.Secondly,from the perspective of tracking precision,introducing the UPF algorithm,the cluster structures use the UPF algorithm to track the target and predict the relative information in next moment.Finally, from the point of tracking continuity, the article puts forward a cluster head replaced policy according to the predicted results.Simulation results show that,comparing with DPF and PPF algorithm,this algorithm not only has the high target tracking precision but also effectively reduces the network energy consumption.3.Based on the above research results of node localization and target tracking,this dissertation studies the positioning and tracking application of slurry transport ship for WSN,and gives the design scheme of transport ship positioning and tracking system.Firstly,the paper constructs the overall architecture of the system,and designs the system structure and functions.Secondly,three modules which constitute the system are designed from two aspects of software and hardware.This three modules include wireless sensor nodes, sink nodes and monitoring center.Finally,the system verifies the validity and practicability of IAPIT algorithm and EEDC-UPF tracking algorithm by simulation experiment.