IDEAS home Printed from https://ideas.repec.org/a/spr/telsys/v67y2018i2d10.1007_s11235-017-0333-0.html
   My bibliography  Save this article

Fuzzy logic based 3D localization in wireless sensor networks using invasive weed and bacterial foraging optimization

Author

Listed:
  • Gaurav Sharma

    (National Institute of Technology)

  • Ashok Kumar

    (National Institute of Technology)

Abstract

The purpose of this paper is to improve the performance of node localization in 3D space for wireless sensor network. To achieve this objective, we propose two range free localization algorithms for 3D space in anisotropic environment using the application of bacterial foraging optimization (BFO) and invasive weed optimization (IWO). In proposed methods, only received signal strength (RSS) information between nodes is sufficient for estimating target nodes locations. The RSS information gives clue to find out the distances between target nodes and anchor nodes. To overcome the non-linearity between RSS and distance, edge weights between target nodes and their neighbouring anchor nodes are considered to estimate the positions of target nodes. To further reduce the computational complexity and to model the edge weights, we use fuzzy logic system in this paper. BFO and IWO techniques are used to further optimize the edge weights separately to achieve the better localization accuracy. The simulation results show the superiority of the proposed algorithms as compared to centroid method, weighted centroid and existing 3D localization algorithms in terms of localization accuracy, stability, positioning coverage and scalability.

Suggested Citation

  • Gaurav Sharma & Ashok Kumar, 2018. "Fuzzy logic based 3D localization in wireless sensor networks using invasive weed and bacterial foraging optimization," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 67(2), pages 149-162, February.
    • Handle: RePEc:spr:telsys:v:67:y:2018:i:2:d:10.1007_s11235-017-0333-0
    DOI: 10.1007/s11235-017-0333-0
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11235-017-0333-0
    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/s11235-017-0333-0?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, 2017. "Novel DV-Hop localization algorithm for wireless sensor networks," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 64(3), pages 509-524, March.
    2. Xuan Liu & Shigeng Zhang & Kai Bu, 2016. "A locality-based range-free localization algorithm for anisotropic wireless sensor networks," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 62(1), pages 3-13, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hilary I. Okagbue & Muminu O. Adamu & Timothy A. Anake & Ashiribo S. Wusu, 2019. "Nature inspired quantile estimates of the Nakagami distribution," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 72(4), pages 517-541, December.
    2. Shilpi & Arvind Kumar, 2023. "A localization algorithm using reliable anchor pair selection and Jaya algorithm for wireless sensor networks," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 82(2), pages 277-289, February.
    3. Soumya J. Bhat & K. V. Santhosh, 2022. "Localization of isotropic and anisotropic wireless sensor networks in 2D and 3D fields," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 79(2), pages 309-321, February.
    4. Prabhjot Singh & Nitin Mittal & Parulpreet Singh, 2022. "A novel hybrid range-free approach to locate sensor nodes in 3D WSN using GWO-FA algorithm," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 80(3), pages 303-323, July.

    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. Shilpi & Arvind Kumar, 2023. "A localization algorithm using reliable anchor pair selection and Jaya algorithm for wireless sensor networks," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 82(2), pages 277-289, February.
    2. Sana Messous & Hend Liouane & Noureddine Liouane, 2020. "Improvement of DV-Hop localization algorithm for randomly deployed wireless sensor networks," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 73(1), pages 75-86, January.
    3. Gaurav Sharma & Ashok Kumar, 2018. "Improved DV-Hop localization algorithm using teaching learning based optimization for wireless sensor networks," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 67(2), pages 163-178, February.
    4. Zixi Jia & Bo Guan, 2018. "Received signal strength difference–based tracking estimation method for arbitrarily moving target in wireless sensor networks," International Journal of Distributed Sensor Networks, , vol. 14(3), pages 15501477187, March.

    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:telsys:v:67:y:2018:i:2:d:10.1007_s11235-017-0333-0. 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.