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논문검색

The Research on WSNs Localization Algorithm for Danger Area Warning

초록

영어

Wireless sensor networks (WSNs) are a new kind of data acquisition technology for danger area warning to ensure the safety of personnel production operation. In order to apply the suitable wireless node localization algorithm for danger area warning,an improved CT-IPIT+ algorithm is proposed in this paper.Considered the "edge effect", the algorithm improved the interior point judgment rules which reduces the error rate of Out-To-In effectively.Through the selection of reasonable restriction threshold, the In-To-Out error is eliminated.By counting number of inside and outside judgement results, the purpose of reducing the total error rate of misjudgment is further realized.Simulation results show that the proposed algorithm can reduce the rate of two types of errors and the total error rate can be controlled under 6.3%.

목차

Abstract
 1. Introduction
 2. Location Tracking of Mobile Nodes in Sensor Network
 3. Pit Localization Algorithm
  3.1. Pit Algorithm Principle
  3.2. Shortcomings of PIT Algorithm
 4. Ct-IPIT Algorithm
  4.1. Basic Principle
  4.2. The Test Steps of CT-IPIT Algorithm
  4.3. RSSI Ranging Quantitative Model
 5. Test and Analysis of CT-IPIT Algorithm
  5.1. Test Environment
  5.2. Results Analysis
  5.3. CT-IPIT Algorithm Application Discussion
 6. Conclusions
 References

저자정보

  • Yang Guangyou Institute of Agricultural Machinery, Hubei University of Technology,Wuhan, 430068, China
  • Jiang Jinyu School of Mechanical and Electrical Engineering,Hubei Polytechnic University,Huangshi,435003, China
  • Xie Zhenliang Institute of Agricultural Machinery, Hubei University of Technology,Wuhan, 430068, China
  • GAN Xiong School of Mechanical and Electrical Engineering, Wuhan University of Technology, Wuhan, 430070, China

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