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Study on Centroid Localization Algorithm Based on the Cellular Distribution of Anchor Nodes

  • Conference paper
Pervasive Computing and the Networked World (ICPCA/SWS 2013)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 8351))

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Abstract

Wireless sensor network has been widely used in targets tracking, intrusion detection and some related fields locating. This paper presents a centric positioning algorithm based on the cellular distribution of anchor nodes. Firstly the unknown nodes point out electromagnetic wave intensity according to the detection of known coordinates of the anchor; calculate the distances of proximity anchor nodes. Secondly according to the distances between unknown node and anchor nodes, choose the anchor nodes of the distance from unknown node within a certain range. Lastly obtain the positioning coordinate by adding and averaging these anchor nodes coordinates so as to realize the positioning. The advantage of this localization algorithm is simple and effective meanwhile reducing the design difficulty and the devices power consumption.

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Author information

Authors and Affiliations

  1. School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, P. R. China

    Duo Zhang

  2. School of Economics and Management, Beijing University of Posts and Telecommunications, Beijing, P. R. China

    Han Yin

Authors
  1. Duo Zhang
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  2. Han Yin
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Editor information

Editors and Affiliations

  1. School of Logistics Engineering, Wuhan University of Technology, 430063, Wuhan, Hubei, China

    Qiaohong Zu

  2. Facultad de Ingenieria y Ciencias Universidad Adolfo Ibanez, Vina del Mar, Chile

    Maria Vargas-Vera

  3. Fujitsu, Hayes, Middlesex, UK

    Bo Hu

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© 2014 Springer International Publishing Switzerland

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Zhang, D., Yin, H. (2014). Study on Centroid Localization Algorithm Based on the Cellular Distribution of Anchor Nodes. In: Zu, Q., Vargas-Vera, M., Hu, B. (eds) Pervasive Computing and the Networked World. ICPCA/SWS 2013. Lecture Notes in Computer Science, vol 8351. Springer, Cham. https://doi.org/10.1007/978-3-319-09265-2_80

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  • DOI: https://doi.org/10.1007/978-3-319-09265-2_80

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-09264-5

  • Online ISBN: 978-3-319-09265-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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