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A Study of Wireless Mobile Node Localization Algorithm Based on MCL and HS

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AsiaSim 2012 (AsiaSim 2012)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 324))

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Abstract

This paper proposes the methods to improve the Monte Carlo (MCL) algorithm for the wireless mobile node localization. It combines the anchor boxes constructed by different power signals with the node location information in the previous time to reduce the sampling region. Through sampling and filtering in this region, we adopt the Harmony Search (HS) algorithm to optimize the obtained samples and then calculate the estimated value of the node location. Moreover, the RSSI ranging is used to assist localization. And it takes full advantage of the nodes information with high availabilities. The simulation results show that the improved algorithm reduces the requirements of anchors density and improves the sampling filter efficiencies and the localization accuracy.

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Author information

Authors and Affiliations

  1. School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, China

    Yan Chen & Jingqi Fu

Authors
  1. Yan Chen
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  2. Jingqi Fu
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Editor information

Editors and Affiliations

  1. National CIMS Engineering Research Center, Department of Automation, Tsinghua University, 100084, Beijing, China

    Tianyuan Xiao

  2. School of Automation Science and Electrical Engineering, Beihang University, 100191, Beijing, China

    Lin Zhang

  3. School of Mechatronics Engineering and Automation, Shanghai University, 200072, Shanghai, China

    Minrui Fei

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© 2012 Springer-Verlag Berlin Heidelberg

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Chen, Y., Fu, J. (2012). A Study of Wireless Mobile Node Localization Algorithm Based on MCL and HS. In: Xiao, T., Zhang, L., Fei, M. (eds) AsiaSim 2012. AsiaSim 2012. Communications in Computer and Information Science, vol 324. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34390-2_37

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  • DOI: https://doi.org/10.1007/978-3-642-34390-2_37

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-34389-6

  • Online ISBN: 978-3-642-34390-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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