IDEAS home Printed from https://ideas.repec.org/a/sae/intdis/v13y2017i11p1550147717741836.html

An improved distance vector-Hop localization algorithm based on coordinate correction

Author

Listed:
  • Xing Wang
  • Yunfeng Nie

Abstract

In order to improve the localization accuracy of distance vector-Hop algorithm under the random topology network scenarios, a novel algorithm named coordinates correction-distance vector-Hop is proposed. Coordinates correction-distance vector-Hop defines the pseudo-range error factor to improve the accuracy of average hop distance. In order to improve the localization accuracy, the unknown node uses distances to part of anchor nodes to locate. Furthermore, anchor nodes are treated as unknown when obtaining their coordinate correction values which are used to correct the localization results of unknown nodes. The simulation results show that each step of coordinates correction-distance vector-Hop can increase the localization accuracy effectively; coordinates correction-distance vector-Hop is better than the traditional distance vector-Hop and some existing improved algorithms both in localization accuracy and in localization stability.

Suggested Citation

  • Xing Wang & Yunfeng Nie, 2017. "An improved distance vector-Hop localization algorithm based on coordinate correction," International Journal of Distributed Sensor Networks, , vol. 13(11), pages 15501477177, November.
    • Handle: RePEc:sae:intdis:v:13:y:2017:i:11:p:1550147717741836
    DOI: 10.1177/1550147717741836
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/1550147717741836
    Download Restriction: no
    File URL: https://libkey.io/10.1177/1550147717741836?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
    ---><---

    References listed on IDEAS

    as
    1. Guozhi Song & Dayuan Tam, 2015. "Two Novel DV-Hop Localization Algorithms for Randomly Deployed Wireless Sensor Networks," International Journal of Distributed Sensor Networks, , vol. 11(7), pages 187670-1876, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sunyong Kim & Sun Young Park & Daehoon Kwon & Jaehyun Ham & Young-Bae Ko & Hyuk Lim, 2017. "Two-hop distance estimation in wireless sensor networks," International Journal of Distributed Sensor Networks, , vol. 13(2), pages 15501477166, February.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:13:y:2017:i:11:p:1550147717741836. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.