IDEAS home Printed from https://ideas.repec.org/a/spr/ijsaem/v11y2020i4d10.1007_s13198-019-00886-7.html
   My bibliography  Save this article

A signal screening based sequence-correlation localization algorithm for wireless sensor networks

Author

Listed:
  • Zhihua Liu

    (Hebei Normal University)

  • Xingyue Liu

    (Hebei Normal University)

  • Wei Zhang

    (Hebei Normal University)

  • Jiaxing Chen

    (Hebei Normal University)

  • Shujing Zhang

    (Hebei Normal University)

  • Rui Wang

    (Yantai University)

Abstract

Wireless sensor networks (WSNs) are dependent on sending and receiving signals. This work aims to design a received signal strength based range-free localization technique called signal screening based sequence-correlation localization algorithm (SCLSS) which can provide accurate and cost efficient localization performance for WSNs. Starting with the division of location region into multiple separate grids, SCLSS utilizes the grid-type measure to obtain a unique intersection-sequence table which represents the Euclidean distances from each anchor node to each grid intersection. Secondly, based on the signal screening method, SCLSS screens out the task intersections which will derive new intersections. Then the selected intersections are filtered out from the derived intersection-sequence table according to Pearson correlation. Finally, SCLSS uses the weighted centroid approach to isolate the location where the unknown node most probably resides. Simulation results show that the proposed SCLSS offers more accurate localization with fewer anchor nodes compared with its counterparts.

Suggested Citation

  • Zhihua Liu & Xingyue Liu & Wei Zhang & Jiaxing Chen & Shujing Zhang & Rui Wang, 2020. "A signal screening based sequence-correlation localization algorithm for wireless sensor networks," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 11(4), pages 842-848, August.
    • Handle: RePEc:spr:ijsaem:v:11:y:2020:i:4:d:10.1007_s13198-019-00886-7
    DOI: 10.1007/s13198-019-00886-7
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s13198-019-00886-7
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s13198-019-00886-7?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Shrawan Kumar & D. K. Lobiyal, 2012. "An Enhanced DV-Hop Localization Algorithm for Wireless Sensor Networks," International Journal of Wireless Networks and Broadband Technologies (IJWNBT), IGI Global, vol. 2(2), pages 16-35, April.
    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. Gulshan Kumar & Mritunjay Kumar Rai & Rahul Saha & Hye-jin Kim, 2018. "An improved DV-Hop localization with minimum connected dominating set for mobile nodes in wireless sensor networks," International Journal of Distributed Sensor Networks, , vol. 14(1), pages 15501477187, January.

    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:spr:ijsaem:v:11:y:2020:i:4:d:10.1007_s13198-019-00886-7. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.