IDEAS home Printed from https://ideas.repec.org/a/sae/intdis/v11y2015i11p821352.html
   My bibliography  Save this article

NDSL: Node Density-Based Subregional Localization in Large Scale Anisotropy Wireless Sensor Networks

Author

Listed:
  • Zhanyong Tang
  • Jie Zhang
  • Liang Wang
  • Jinzhi Han
  • Dingyi Fang
  • Anwen Wang

Abstract

Localization is emerging as a fundamental component in wireless sensor network and is widely used in the fields of environmental monitoring, national defense and military, transportation, and so on. Current positioning system, however, can only locate an object's position in isotropy wireless sensor network with high accuracy but cannot locate it accurately in anisotropy wireless sensor network. Besides, past proposals only mentioned anisotropy to show that connectivity of network is different in each direction. However, how to quantify the degree of anisotropy is not clearly pointed out. This paper introduces NDSL (node density-based subregional localization), a positioning system that is used in anisotropy wireless sensor network. The network is divided into many subregions where the nodes density is relatively uniform and then corrects the single-hop distance for each beacon node to locate unknown nodes. We also use nodes distribution and signals distribution to build a model to evaluate the degree of anisotropy for anisotropy network. Through the analysis of the degree of anisotropy for different topologies, the results show that the model is consistent with the facts. Results from actual deployments and simulation experiments show that the accuracy of NDSL algorithm obviously improves compared with DV-Hop algorithm.

Suggested Citation

  • Zhanyong Tang & Jie Zhang & Liang Wang & Jinzhi Han & Dingyi Fang & Anwen Wang, 2015. "NDSL: Node Density-Based Subregional Localization in Large Scale Anisotropy Wireless Sensor Networks," International Journal of Distributed Sensor Networks, , vol. 11(11), pages 821352-8213, November.
    • Handle: RePEc:sae:intdis:v:11:y:2015:i:11:p:821352
    DOI: 10.1155/2015/821352
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1155/2015/821352
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2015/821352?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:11:y:2015:i:11:p:821352. 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.