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Research On DV-Hop Localization Algorithm For Wireless Sensor Networks Based On LSTM

Posted on:2024-02-24Degree:MasterType:Thesis
Country:ChinaCandidate:R CaiFull Text:PDF
GTID:2568307085987439Subject:Computer software and theory
Abstract/Summary:PDF Full Text Request
Wireless sensor networks are composed of distributed wireless sensor nodes.Each node can collect information from the surrounding environment and transmit it to the network center for processing and analysis.WSN-based sensor localization technology is a technique that uses sensor nodes in WSN to locate target positions.Sensor nodes determine the target location by perceiving signals in the environment,making this technology widely applicable.However,precise localization of nodes in WSN remains a significant challenge that requires in-depth research and solutions.The main content of this article is as follows:Firstly,in response to the problem of low positioning accuracy based on non ranging DV-Hop algorithm,this article proposes an improved DV-Hop(Distance Vector Hop)wireless sensor network positioning algorithm based on Long Short Term Memory network.This algorithm filters,analyzes,and extracts features from the original data to improve the accuracy of predicting node positions.At the same time,this article also analyzes the reasons for the errors in the DV-Hop algorithm,and designs and implements the overall architecture and related operational processes of the algorithm based on actual wireless sensor positioning needs.Design simulation experiments based on the actual requirements of DV-Hop algorithm for positioning accuracy,compare the proposed improved LSTMDV-Hop positioning algorithm model with other positioning algorithms,and analyze the positioning accuracy and stability of nodes in the network.Secondly,in response to the uneven distribution of error regions in the DV-Hop algorithm,in order to further improve positioning accuracy,this article proposes a positioning error correction mechanism.On the basis of LSTMDV-Hop,the error correction mechanism is introduced into the improved LSTMDV-Hop positioning algorithm.Taking into account the impact of node status on positioning errors,the error correction strategy adopted by the node is determined to correct the position data of wireless sensors with significant errors,Further reduce the error of the positioning algorithm and improve the positioning accuracy.The mechanism first needs to initialize parameters,which can correct the positioning error through the error function,so as to improve the accuracy and reliability of node positioning in the network.Finally,compare the algorithm proposed in this article with other positioning algorithms to verify its accuracy in positioning accuracy.The results indicate that the algorithm provides more reliable and accurate positioning accuracy.The experiment compared positioning algorithms in four different terrains,using key indicators such as accuracy,accuracy,and average positioning error.Compared to other algorithms,the DV Hop algorithm proposed in this article shows high effectiveness in experimental results,significantly reducing positioning errors,and improving accuracy and accuracy.
Keywords/Search Tags:WSN, Positioning accuracy, LSTM, Deep learning, Error correction
PDF Full Text Request
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