IDEAS home Printed from https://ideas.repec.org/a/sae/intdis/v11y2015i7p763675.html
   My bibliography  Save this article

A Key Management Method Based on Dynamic Clustering for Sensor Networks

Author

Listed:
  • Ying Zhang
  • Bingxin Zheng
  • Pengfei Ji
  • Jinde Cao

Abstract

Many cluster-based routing protocols had been proposed which had rarely considered the network security issues so far. The existing key management methods have imperfection when they combine with cluster-based routing protocols. Normally cluster-based key management method has better performance than the distributed key management method, but most of the layer-cluster key management methods do not consider the problem of key updating and being captured for cluster heads. Considering the nodes’ capture probability, particle swarm optimization algorithm was used to optimize the clustering of sensor networks. A dynamic key management method was proposed to achieve key updating regularly and provided a security strategy for sensor networks to solve the problem of being captured for cluster heads. The simulation illustrates that the proposed key management method can achieve better security performance.

Suggested Citation

  • Ying Zhang & Bingxin Zheng & Pengfei Ji & Jinde Cao, 2015. "A Key Management Method Based on Dynamic Clustering for Sensor Networks," International Journal of Distributed Sensor Networks, , vol. 11(7), pages 763675-7636, July.
  • Handle: RePEc:sae:intdis:v:11:y:2015:i:7:p:763675
    DOI: 10.1155/2015/763675
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1155/2015/763675
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2015/763675?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:7:p:763675. 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.