IDEAS home Printed from https://ideas.repec.org/a/sae/intdis/v10y2014i4p278629.html
   My bibliography  Save this article

Survivability-Aware Topology Evolution Model with Link and Node Deletion in Wireless Sensor Networks

Author

Listed:
  • Yanliang Jin
  • Xuqin Zhou
  • Zhishu Bai
  • Wei Ma
  • Lina Xu
  • Zhuo Wu
  • Su Ki Ooi
  • Yue Liu

Abstract

The paper proposes the algorithm of survival topology evolution model. The model applies the survival analysis to the research on the topology of networks. On one hand, it takes the survivability of every node into account. Since the state of a node is affected by the node itself, the environment and so on, it's necessary to study the survivability of nodes. In addition, the survival analysis on the nodes can indicate whether the nodes work well in real time. On the other hand, it also takes the deletion of links and nodes determined by the survivability of the nodes into account. Then it reaches the conclusion by mean field method. The result shows that the degree distributions of WSNs are approximately power law as B-A model and that the survivability of the nodes is proportional to the degree distribution of the network consisting of the previous nodes. These are further confirmed by simulation example.

Suggested Citation

  • Yanliang Jin & Xuqin Zhou & Zhishu Bai & Wei Ma & Lina Xu & Zhuo Wu & Su Ki Ooi & Yue Liu, 2014. "Survivability-Aware Topology Evolution Model with Link and Node Deletion in Wireless Sensor Networks," International Journal of Distributed Sensor Networks, , vol. 10(4), pages 278629-2786, April.
    • Handle: RePEc:sae:intdis:v:10:y:2014:i:4:p:278629
    DOI: 10.1155/2014/278629
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1155/2014/278629
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2014/278629?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:10:y:2014:i:4:p:278629. 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.