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Improved DV-Hop Localization Algorithm Based on RSSI Value and Hop Correction

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Advances in Wireless Sensor Networks (CWSN 2012)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 334))

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Abstract

On the basis of the analysis of the relation between network’s topologyand localization precisionan improved DV-Hop algorithm based on hop correction is put forward. Firstly, RSSI value is used to correct the distance between unknown node and reference nodes in the range of single hop; secondly, a certain amount of correction value is added to the original hop between unknown node and reference nodes to further reduce the distance error between them. Simulation result shows that improved algorithm improves the localization precision.

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Author information

Authors and Affiliations

  1. School of Computer and Information Engineering, Institute of Image Processing and Pattern Recognition, Henan University, Kaifeng, Henan, 475001, China

    Zhengwei Guo & Wenjian Wu

  2. Network Information Center Office, Henan University, Kaifeng, Henan, 475001, China

    Lin Min

  3. Henan University Minsheng College, Kaifeng, Henan, 475004, China

    Hui Li

Authors
  1. Zhengwei Guo
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  2. Lin Min
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  3. Hui Li
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  4. Wenjian Wu
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Editor information

Editors and Affiliations

  1. College of Computer, Nanjing University of Posts and Telecommunications, 66 Xin Mofan Road, Mailbox 157, 210003, Nanjing, China

    Ruchuan Wang  & Fu Xiao  & 

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© 2013 Springer-Verlag Berlin Heidelberg

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Guo, Z., Min, L., Li, H., Wu, W. (2013). Improved DV-Hop Localization Algorithm Based on RSSI Value and Hop Correction. In: Wang, R., Xiao, F. (eds) Advances in Wireless Sensor Networks. CWSN 2012. Communications in Computer and Information Science, vol 334. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36252-1_10

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  • DOI: https://doi.org/10.1007/978-3-642-36252-1_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-36251-4

  • Online ISBN: 978-3-642-36252-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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