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An Efficient Directed Localization Recursion Protocol for Wireless Sensor Networks

This paper presents an innovative Directed Position Estimation (DPE) algorithm for wireless sensor networks, enabling node position estimation using only two reference neighbors, significantly reducing resource usage and error compared to traditional methods like triangulation or trilateration. The authors evaluate the performance of this algorithm in various scenarios, including low-density networks. They discuss the impact of network scale and beacon structure on localization accuracy, ultimately demonstrating that their approach outperforms existing methods by providing more reliable positioning with minimal complexity.

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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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