IDEAS home Printed from https://ideas.repec.org/a/sae/intdis/v17y2021i2p1550147720980326.html
   My bibliography  Save this article

Lightweight load-balanced and authentication scheme for a cluster-based wireless sensor network

Author

Listed:
  • Jiliang Zhou
  • Ziqiang Lin

Abstract

Clustering technology is one of the crucial technologies to prolong the lifetime in wireless sensor networks. However, most cluster schemes choose cluster head randomly to send data without considering load balancing and security. In addition, some cluster heads in the highly active area may be overloaded, while others in the low active area may be overloaded, which may easily lead to extreme imbalance in task allocation. Our research on relevant literature shows that the existing authentication schemes do not fully consider the load balancing of cluster heads, while the load balancing schemes ignore the security authentication of cluster heads. Therefore, this article effectively combines load balancing and security verification, and proposes a lightweight load balancing and verification scheme (secure load and energy balancing) based on clustered wireless sensor networks. Secure load and energy balancing implements cluster head’s authentication and confidentiality and integrity of all messages in load balancing. This scheme not only effectively maintains the energy balance of the whole network but also successfully improves the security overhead, thus prolonging the network lifetime. The simulation results show that compared with other similar schemes, this scheme has higher packet forwarding rate, longer network life, and lower overhead. This further proves that the scheme is energy-saving, safe, dynamic, stable, and sustainable.

Suggested Citation

  • Jiliang Zhou & Ziqiang Lin, 2021. "Lightweight load-balanced and authentication scheme for a cluster-based wireless sensor network," International Journal of Distributed Sensor Networks, , vol. 17(2), pages 15501477209, February.
  • Handle: RePEc:sae:intdis:v:17:y:2021:i:2:p:1550147720980326
    DOI: 10.1177/1550147720980326
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/1550147720980326
    Download Restriction: no

    File URL: https://libkey.io/10.1177/1550147720980326?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. Gherbi, Chirihane & Aliouat, Zibouda & Benmohammed, Mohamed, 2016. "An adaptive clustering approach to dynamic load balancing and energy efficiency in wireless sensor networks," Energy, Elsevier, vol. 114(C), pages 647-662.
    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. Li-Yong Yuan & Fei-Long Lin, 2022. "Collection tree-oriented mesh routing optimization for extending the lifetime of wireless sensor networks," International Journal of Distributed Sensor Networks, , vol. 18(3), pages 15501329221, March.

    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. Kosunalp, Selahattin, 2017. "An energy prediction algorithm for wind-powered wireless sensor networks with energy harvesting," Energy, Elsevier, vol. 139(C), pages 1275-1280.

    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:17:y:2021:i:2:p:1550147720980326. 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.