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Research On Node Location And Covercage Of Mine Wireless Sensor Network

Posted on:2021-04-13Degree:DoctorType:Dissertation
Country:ChinaCandidate:X Q WangFull Text:PDF
GTID:1361330602490078Subject:Communication and Information System
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Wireless Sensor Networks(WSN)integrating varieties of innovative and high technology is a bran-new platform of information acquisition and management,which expand the remote intercommunion capability between human and nature.It can real-time monitor and collect the information about various monitoring objects in the network distribution area.The information is sent to the gateway node to realize the monitoring and tracking of targets within a complex specified range.Wireless sensor networks(WSN)have many advantages,such as low cost,low energy consumption,and easy deployment.Their location-independent sensing capability can be implemented even in toxic and inaccessible areas,WSN is widely used in environmental monitoring,military,industrial,and agricultural and other fields,especially in complex environments and places where people are not easy to reach.WSN plays an irreplaceable important role.Node localization algorithm and network coverage technology have become hot issues in many application research fields.Among them,the self-positioning technology of sensor node is the key supporting technology of wireless sensor network and the foundation of various applications of wireless sensor network.The correct positioning of the node itself is the premise of providing monitoring event location information.In these monitored environments,the deployment of sensor nodes is randomly distributed in the monitored area with the help of relevant tools.The locations of the nodes are random,and the geographic information is unknown,so the physical information collected by the nodes needs to be combined with their location information to have practical significance.Therefore,the realization of node localization has important research value for wireless sensor networks.To improve the accuracy of node positioning,reduce the energy consumption of nodes and provide better positioning service for monitoring center is hot research in wireless positioning in recent years.In complex environments,it is difficult to predict the situation,and the conditions vary in many directions.Radio or electromagnetic signals are easily disturbed by various factors in complex environments.The existing location algorithms in complex environments are prone to produce errors.This paper,funded by the national key research and development program(Grant No.2016YFC0801800)and the national natural science foundation of China(Grant No.51674269),studies wireless sensor network node location algorithm and network coverage technology,which has important theoretical and practical significance.Following the latest research mainstream at home and abroad,this paper designs a new localization algorithm according to the characteristics of wireless sensor networks,in order to effectively improve the localization accuracy,enhance the energy of nodes and reduce the localization error under the existing wireless sensor network node deployment environment.In this paper,the clustering node localization algorithm based on fuzzy theory and the constrained equidistant property of compressed sensing are deeply studied.Based on the previous work,the following innovative research results have been achieved:(1)The application of nodal positioning and ranging technology and the influencing factors of the mine were analyzed,the reasons for the multipath effect of the TOA positioning method were extracted.Based on this,it is envisaged that electromagnetic metamaterials would be used in the TOA target positioning system of mines.The magnetic negative characteristic changes the magnetic field distribution in the monitored area,thereby reducing the components of electromagnetic waves propagating to the top,bottom and side walls of the mine channel,so as to achieve the purpose of suppressing the multipath effect.(2)Aiming at the problem of node location accuracy in mine wireless sensor network,a natural heuristic algorithm of node location is proposed to solve the global optimal problem of node location in mine wireless sensor network,that is,based on the butterfly optimization algorithm(BOA),the method of node location in mine wireless sensor network uses three-dimensional centroid location algorithm to initially locate the target node;then,the boa is used to locate the target node The location of the estimated target node is optimized.(3)Aiming at the target event coverage problem of WSN in 3D space application,a WSN fence coverage algorithm based on 3D Voronoi partition is proposed to ensure the connectivity and high coverage of the whole network.(4)Aiming at the massive data information in coal mine,the distributed compressed sensing theory and constrained isometry are used to analyze and study the node location algorithm based on spatial correlation,and a novel location technology based on compressed sensing convergence distance is proposed.This positioning technology directly uses compressed sensing signal to locate the unknown points,avoiding some problems such as error superposition in distance positioning technology,and reducing the computational complexity.
Keywords/Search Tags:wireless sensor network, node localization, Multipath effect, butterfly optimization, coverage, compressing sensor, convergence distance
PDF Full Text Request
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