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An Efficient Directed Localization Recursion Protocol for Wireless Sensor Networks

An Efficient Directed Localization Recursion Protocol for Wireless Sensor Networks. Horacio Antonio Braga Fernandes de Oliveira 1 , Azzedine Boukerche 2 , Eduardo Freire Nakamura 3 , and Antonio Alfredo Ferreira Loureiro 4

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An Efficient Directed Localization Recursion Protocol for Wireless Sensor Networks

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  1. An Efficient Directed Localization Recursion Protocol for Wireless Sensor Networks Horacio Antonio Braga Fernandes de Oliveira1, Azzedine Boukerche2, Eduardo Freire Nakamura3, and Antonio Alfredo Ferreira Loureiro4 1 Computer science in the Department of Computer Science, Federal University of Amazonas(UFAM), Manaus, Brazil. 2 PARADISE Research Laboratory, School of Information Technology and Engineering (SITE), Ottawa. 3 The Center of Analysis, Research and Technological Innovation Foundation (FUCAPI), Manaus, Brazil. 4 Computer science in the Department of Computer Science, Federal University of Minas Gerais(UFMG), Belo Horizonte, Brazil IEEE Transactions on Computers, Vol. 58, No. 5, May 2009

  2. Outline • Introduction • The Directed Position Estimation(DPE) Algorithm • Performance Evaluation • Conclusions

  3. Introduction • The techniques used to identify the position of each sensor node are central to such location-aware operations.

  4. Introduction

  5. Introduction

  6. Introduction • In this work, the authors propose a different recursive localization system • a node can estimate its position using only two reference neighbors • work in a low-density sensor network • fewer errors and resources than the triangulation, trilateration, or multilateration methods.

  7. Challenge reference node

  8. DPE Algorithm

  9. Starting the Recursion from a Single Point

  10. Selecting Which Pair of References to Use A Recursion origin Beacon

  11. Selecting Which Pair of References to Use

  12. Selecting Which Pair of References to Use

  13. Estimating the Position

  14. Residual Error • Quantifying the Position Error • The residual error can be used as a measure of confidence in the estimated position. The residual error for an estimated position is defined as

  15. Performance Evaluation • Communication range for all nodes:15 m • Number of beacon nodes: 4 • Sensor field:70 m × 70 m • Scenario 1 • The beacon structure is deployed at the center of the sensor field • Scenario 2 • The beacon structure is deployed at the border

  16. Geographic Distribution of the Error RPE DPE-1 DPE-2

  17. Error Distribution

  18. The Impact of the RSSI Inaccuracy

  19. The Impact of the Network Scale

  20. The Influence of the Beacon Structure

  21. Conclusions • In this paper, the authors propose a DPE algorithm • a node can estimate its position using only two reference neighbors • work in a low-density sensor network • fewer errors and resources than the triangulation, trilateration, or multilateration methods.

  22. Thank You ~

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