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Relative Localization for Small Wireless Sensor Networks

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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.

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Author information

Authors and Affiliations

  1. Communications Research Centre Canada, Nepean, Canada

    Yifeng Zhou

  2. Defence Research and Development Canada, Ottawa, Canada

    Franklin Wong

Authors
  1. Yifeng Zhou
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  2. Franklin Wong
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Correspondence to Yifeng Zhou .

Editor information

Editors and Affiliations

  1. Ottawa, Ontario, Canada

    Yifeng Zhou

  2. Carleton University , Ottawa, Canada

    Thomas Kunz

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

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Zhou, Y., Wong, F. (2017). Relative Localization for Small Wireless Sensor Networks. In: Zhou, Y., Kunz, T. (eds) Ad Hoc Networks. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 184. Springer, Cham. https://doi.org/10.1007/978-3-319-51204-4_2

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  • DOI: https://doi.org/10.1007/978-3-319-51204-4_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-51203-7

  • Online ISBN: 978-3-319-51204-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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