IDEAS home Printed from https://ideas.repec.org/a/sae/intdis/v9y2013i3p949285.html
   My bibliography  Save this article

A Location Predicting Method for Indoor Mobile Target Localization in Wireless Sensor Networks

Author

Listed:
  • Peng Gao
  • Weiren Shi
  • Wei Zhou
  • Hongbing Li
  • Xiaogang Wang

Abstract

Node position information is one of the important issues in many wireless sensor networks' usages. In this paper, based on path planning, a location predicting method (PPLP) for indoor mobile target localization is proposed. We first establish the path planning model to constrain the movement trajectory of the mobile target in indoor environment according to indoor architectural pattern. Then, one certain localization result can be obtained using MLE algorithm. After that, based on the path-planning model and some previous localization results, the most likely position of the target in the next time interval can be predicted with the proposed predicting approach. Finally, the MLE result and prediction result are weighted to obtain the final position. The simulation results demonstrate the effectiveness of the proposed algorithm.

Suggested Citation

  • Peng Gao & Weiren Shi & Wei Zhou & Hongbing Li & Xiaogang Wang, 2013. "A Location Predicting Method for Indoor Mobile Target Localization in Wireless Sensor Networks," International Journal of Distributed Sensor Networks, , vol. 9(3), pages 949285-9492, March.
    • Handle: RePEc:sae:intdis:v:9:y:2013:i:3:p:949285
    DOI: 10.1155/2013/949285
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1155/2013/949285
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2013/949285?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:intdis:v:9:y:2013:i:3:p:949285. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.