IDEAS home Printed from https://ideas.repec.org/a/spr/jcomop/v20y2010i1d10.1007_s10878-008-9190-9.html
   My bibliography  Save this article

EiSIRS: a formal model to analyze the dynamics of worm propagation in wireless sensor networks

Author

Listed:
  • Xiaoming Wang

    (Shaanxi Normal University
    Georgia State University)

  • Qiaoliang Li

    (Georgia State University
    Hunan University)

  • Yingshu Li

    (Georgia State University)

Abstract

Based on the epidemic theory, this paper proposes a novel model for analyzing the dynamics of worm propagation in Wireless Sensor Networks (WSNs). The proposed model supports the sleep and work interleaving schedule policy for sensor nodes, and it can also describe the process of multi-worm propagation in WSNs. In addition, a necessary condition for worms to spread in WSNs is derived, which may be useful in designing a secure WSN. Simulation results show that the process of worm propagation in WSNs is sensitive to the energy consumption of nodes and the sleep and work interleaving schedule policy for nodes. Therefore, this paper provides new insights for the dynamics of worm propagation in WSNs.

Suggested Citation

  • Xiaoming Wang & Qiaoliang Li & Yingshu Li, 2010. "EiSIRS: a formal model to analyze the dynamics of worm propagation in wireless sensor networks," Journal of Combinatorial Optimization, Springer, vol. 20(1), pages 47-62, July.
  • Handle: RePEc:spr:jcomop:v:20:y:2010:i:1:d:10.1007_s10878-008-9190-9
    DOI: 10.1007/s10878-008-9190-9
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10878-008-9190-9
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10878-008-9190-9?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wen Jiang & Zeyu Ma & Xinyang Deng, 2019. "An attack-defense game based reliability analysis approach for wireless sensor networks," International Journal of Distributed Sensor Networks, , vol. 15(4), pages 15501477198, April.
    2. Jing Gao & Jianzhong Li & Yingshu Li, 2016. "Approximate event detection over multi-modal sensing data," Journal of Combinatorial Optimization, Springer, vol. 32(4), pages 1002-1016, November.
    3. Wu, Yanqing & Pu, Cunlai & Zhang, Gongxuan & Li, Lunbo & Xia, Yongxiang & Xia, Chengyi, 2023. "Epidemic spreading in wireless sensor networks with node sleep scheduling," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 629(C).

    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:spr:jcomop:v:20:y:2010:i:1:d:10.1007_s10878-008-9190-9. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.