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Research And Implementation On DV-Hop Algorithms For Wireless Sensor Networks

Posted on:2019-05-16Degree:MasterType:Thesis
Country:ChinaCandidate:X W CaoFull Text:PDF
GTID:2417330551460984Subject:Statistics
Abstract/Summary:PDF Full Text Request
With the development of science and technology,wireless sensor networks(WSNs)are increasingly used in practical scenarios.As a key technology in the WSN,the node positioning technology has gradually attracted the attention of experts and scholars.It has been successfully applied to military,industrial and agricultural,any need to monitor information in the field.However,the node location technology still has problems such as low positioning accuracy and low power consumption.To solve these problems,this paper mainly studies the improvement of DV-Hop positioning algorithm.This article first elaborates the research background and domestic and foreign research status in WSN,then introduces the principle and structure of WSN,and then introduces the DV-Hop algorithm in detail.Finally,aiming at error accumulation and error distribution,this paper proposes an improved DV-Hop algorithm TMSE-DV-Hop based on threshold and mean square error processing.At the same time,in order to reflect the different distance beacon nodes around the unknown node,its influence is also different.This paper also proposes an improved DV-Hop algorithm TDW-DV-Hop based on threshold and distance weighting.Finally,the simulation experiment is performed on Matlab platform.The performance of the improved algorithm is compared with that of DV-Hop algorithm.The experimental results show that,without increasing the complexity of the algorithm and the cost of hardware and software,the hops from different hops,the letter The standard nodes and communication radius from multiple angles verify that the proposed two improved algorithms are superior to the traditional DV-Hop algorithm,and the positioning performance of the TDW-DV-Hop algorithm is better under the same conditions.
Keywords/Search Tags:wireless sensor networks, localization, DV-Hop, threshold, weighted
PDF Full Text Request
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