IDEAS home Printed from https://ideas.repec.org/a/sae/intdis/v11y2015i8p789434.html
   My bibliography  Save this article

A Gene Regulatory Network-Inspired Self-Organizing Control for Wireless Sensor Networks

Author

Listed:
  • Heejung Byun
  • Jaesung Park

Abstract

Biologically inspired modeling techniques have received considerable attention for the realization of robustness, scalability, and adaptability with simple local interactions and limited information. Gene Regulatory Networks (GRNs) play a central role in understanding natural evolution and development of biological organisms from cells. In this paper, we employ GRN principles and propose a new GRN model for self-organizing control of Wireless Sensor Networks (WSNs) with dual aims of energy saving and delay guarantee. Through this scheme, each sensor node schedules its state autonomously according to the controlled gene expression and protein concentration of the proposed GRN model. Simulation results also indicate that the proposed scheme achieves good performance in meeting delay requirements and conserving energy in WSN systems.

Suggested Citation

  • Heejung Byun & Jaesung Park, 2015. "A Gene Regulatory Network-Inspired Self-Organizing Control for Wireless Sensor Networks," International Journal of Distributed Sensor Networks, , vol. 11(8), pages 789434-7894, August.
    • Handle: RePEc:sae:intdis:v:11:y:2015:i:8:p:789434
    DOI: 10.1155/2015/789434
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1155/2015/789434
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2015/789434?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
    ---><---

    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:sae:intdis:v:11:y:2015:i:8:p:789434. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.