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A Novel Localization Scheme Based on RSS Data for Wireless Sensor Networks

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Advanced Web and Network Technologies, and Applications (APWeb 2006)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3842))

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Abstract

Sensor localization has become an essential requirement for realistic applications over Wireless Sensor Networks (WSN).In this paper, we propose a novel location algorithm based on mean received signal strength (RSS) measurements. It incorporates Chan’s hyperbolic position location algorithm and the extended Kalman filtering to achieve an accurate estimation. We have verified the scheme mentioned in the paper performed better than conventional received signal strength indicator (RSSI) location algorithm for the static location estimator in indoor sensor networks.

This paper was supported in part by National Basic Research Program of China under Grant No.2005CB321604, and in part by National Natural Science Foundation of China under Grant No.90207002.

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Author information

Authors and Affiliations

  1. Advanced Test Technology Lab, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, 100080

    Hongyang Chen, Yongjun Xu & Xiaowei Li

  2. Institute of Mobile Communications, Southwest Jiaotong University, Chengdu, 610031

    Hongyang Chen & Deng Ping

Authors
  1. Hongyang Chen
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  2. Deng Ping
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  3. Yongjun Xu
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  4. Xiaowei Li
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Editor information

Editors and Affiliations

  1. School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, QLD, Australia

    Heng Tao Shen

  2. School of Computer Science and Technology, Heilongjiang University, P.O. Box, 150080, Harbin, China

    Jinbao Li

  3. Department of Computer Science and Engineering, Shanghai Jiatong University, 80 Dongcuan Road, 200240, Shanghai, China

    Minglu Li

  4. Department of Computer Science, College of Liberal Arts and Science, University of Iowa, 52242, Iowa City, IA, USA

    Jun Ni

  5. UNC Chapel Hill,  

    Wei Wang

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© 2006 Springer-Verlag Berlin Heidelberg

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Chen, H., Ping, D., Xu, Y., Li, X. (2006). A Novel Localization Scheme Based on RSS Data for Wireless Sensor Networks. In: Shen, H.T., Li, J., Li, M., Ni, J., Wang, W. (eds) Advanced Web and Network Technologies, and Applications. APWeb 2006. Lecture Notes in Computer Science, vol 3842. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11610496_42

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  • DOI: https://doi.org/10.1007/11610496_42

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-31158-4

  • Online ISBN: 978-3-540-32435-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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