IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0289173.html
   My bibliography  Save this article

A cluster-tree-based trusted routing algorithm using Grasshopper Optimization Algorithm (GOA) in Wireless Sensor Networks (WSNs)

Author

Listed:
  • Mehdi Hosseinzadeh
  • Omed Hassan Ahmed
  • Jan Lansky
  • Stanislava Mildeova
  • Mohammad Sadegh Yousefpoor
  • Efat Yousefpoor
  • Joon Yoo
  • Lilia Tightiz
  • Amir Masoud Rahmani

Abstract

In wireless sensor networks (WSNs), existing routing protocols mainly consider energy efficiency or security separately. However, these protocols must be more comprehensive because many applications should guarantee security and energy efficiency, simultaneously. Due to the limited energy of sensor nodes, these protocols should make a trade-off between network lifetime and security. This paper proposes a cluster-tree-based trusted routing method using the grasshopper optimization algorithm (GOA) called CTTRG in WSNs. This routing scheme includes a distributed time-variant trust (TVT) model to analyze the behavior of sensor nodes according to three trust criteria, including the black hole, sink hole, and gray hole probability, the wormhole probability, and the flooding probability. Furthermore, CTTRG suggests a GOA-based trusted routing tree (GTRT) to construct secure and stable communication paths between sensor nodes and base station. To evaluate each GTRT, a multi-objective fitness function is designed based on three parameters, namely the distance between cluster heads and their parent node, the trust level, and the energy of cluster heads. The evaluation results prove that CTTRG has a suitable and successful performance in terms of the detection speed of malicious nodes, packet loss rate, and end-to-end delay.

Suggested Citation

  • Mehdi Hosseinzadeh & Omed Hassan Ahmed & Jan Lansky & Stanislava Mildeova & Mohammad Sadegh Yousefpoor & Efat Yousefpoor & Joon Yoo & Lilia Tightiz & Amir Masoud Rahmani, 2023. "A cluster-tree-based trusted routing algorithm using Grasshopper Optimization Algorithm (GOA) in Wireless Sensor Networks (WSNs)," PLOS ONE, Public Library of Science, vol. 18(9), pages 1-31, September.
    • Handle: RePEc:plo:pone00:0289173
    DOI: 10.1371/journal.pone.0289173
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0289173
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0289173&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0289173?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. Mehdi Hosseinzadeh & Jawad Tanveer & Amir Masoud Rahmani & Efat Yousefpoor & Mohammad Sadegh Yousefpoor & Faheem Khan & Amir Haider, 2022. "A Cluster-Tree-Based Secure Routing Protocol Using Dragonfly Algorithm (DA) in the Internet of Things (IoT) for Smart Agriculture," Mathematics, MDPI, vol. 11(1), pages 1-25, December.
    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. Mehdi Hosseinzadeh & Adil Hussein Mohammed & Amir Masoud Rahmani & Farhan A. Alenizi & Seid Miad Zandavi & Efat Yousefpoor & Omed Hassan Ahmed & Mazhar Hussain Malik & Lilia Tightiz, 2023. "A secure routing approach based on league championship algorithm for wireless body sensor networks in healthcare," PLOS ONE, Public Library of Science, vol. 18(10), pages 1-29, October.

    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:plo:pone00:0289173. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.