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Improvement of Path Planning in Mobile Beacon Assisted Positioning

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Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence (ICIC 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6839))

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Abstract

In static Wireless sensor networks position, at present using a mobile beacon assisted positioning mechanism. However, in assisted positioning of the mobile beacon, the mobile path of beacon nodes has a great influence to positioning performance, the existing mobile assisted positioning algorithm consider less to path planning, for its lack, paper proposes a more flexible dynamic heuristic path planning method, with more practical for the application of irregular network topology.

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References

  1. Sun, G.L.: Wireless Mobile Network Assisted Positioning Algorithm. University of Electronic Science and Technology, Cheng Du (2005)

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  2. Yu, Y., Wan, J.W., Wu, Y.F.: Localization Algorithm in Wireless Sensor Networks. Sensors and Actuators, 187–192 (2007)

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  3. Ji, J., Shi, S.F., Li, J.Z.: A Wireless Sensor Network for the Orderly Positioning Algorithm Robust. Computer Research and Development, 131–137 (2008)

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  4. Li, F.M., Xu, W.J., Liu, X.H.: Power Control in Wireless Sensor Networks. Software Technology, 716–732 (2008)

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Author information

Authors and Affiliations

  1. Information Engineer Department, Henan Vocational and Technical Institute, Zhengzhou, China

    Jirui Li

  2. Computer Department, Armed Police Command College, Zhengzhou, China

    Kai Yang

Authors
  1. Jirui Li
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  2. Kai Yang
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Editor information

Editors and Affiliations

  1. School of Electronics and Information Engineering, Tongji University, 4800 Caoan Road, 201804, Shanghai, China

    De-Shuang Huang

  2. School of Computer and Communication Engineering, Zhengzhou University of Light Industry, No. 5, Dongfeng Road, Jinshui District, 450002, Zhengzhou, Henan, China

    Yong Gan

  3. Indian Institute of Technology Kanpur, 208016, Kanpur, India

    Phalguni Gupta

  4. Department of Biotechnology, Indian Institute of Technology Madras, 600 036, Chennai, Tamilnadu, India

    M. Michael Gromiha

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© 2012 Springer-Verlag Berlin Heidelberg

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Li, J., Yang, K. (2012). Improvement of Path Planning in Mobile Beacon Assisted Positioning. In: Huang, DS., Gan, Y., Gupta, P., Gromiha, M.M. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence. ICIC 2011. Lecture Notes in Computer Science(), vol 6839. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25944-9_40

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  • DOI: https://doi.org/10.1007/978-3-642-25944-9_40

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25943-2

  • Online ISBN: 978-3-642-25944-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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