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Relative Localization for Small Wireless Sensor Networks

  • Yifeng ZhouEmail author
  • Franklin Wong
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 184)

Abstract

In this paper, we investigate relative localization techniques based on internode distance measurements for small wireless networks. High precision ranging is assumed, which is achieved by using technologies such as ultra-wide band (UWB) ranging. A number of approaches are formulated and compared for relative location estimation, which include the Linear Least Squares (LLS) approach, the Maximum Likelihood Estimation (MLE) approach, the Map Registration Approach (MAP), the Multidimensional Scaling (MDS) approach and the enhanced MDS approaches. Finally, computer simulations are used to compare the performances and effectiveness of these techniques, and conclusions are drawn on the suitability of the relative localization techniques for small networks.

Keywords

Wireless sensor networks Localization Ranging Ultra-wide band (UWB) Least squares (LS) Maximum likelihood method (MLE) Multidimensional scaling (MDS) 

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Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2017

Authors and Affiliations

  1. 1.Communications Research Centre CanadaNepeanCanada
  2. 2.Defence Research and Development CanadaOttawaCanada

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