IDEAS home Printed from https://ideas.repec.org/a/sae/intdis/v12y2016i10p1550147716666665.html
   My bibliography  Save this article

An adaptive hybrid schema for data-centric storage in wireless sensor networks

Author

Listed:
  • Pooya Hejazi

Abstract

Storage, query cost, and energy efficiency are among the most important data dissemination issues in wireless sensor networks. Data-centric storage approach can be viewed as energy efficient and low cost solution to these issues, which itself suffers from hotspot storage problem. Some provided solutions tried to handle this mentioned problem and also brought load balancing and scalability to the network. In this article, we present a method called adaptive resilient data-centric storage which reduces the storage cost and also improves the load balancing and fault tolerance in the network by making data-centric storage adaptive based on the frequency of sensed events. Then, we propose a mathematical model to determine the threshold for the frequency of occurrence of sensed events. Finally, we developed a discrete-event-based simulator for two-dimensional graphical view of the network and collected the results. Simulations and analytical results show the superiority of the proposed method over the compared approaches with the miscellaneous frequency of events.

Suggested Citation

  • Pooya Hejazi, 2016. "An adaptive hybrid schema for data-centric storage in wireless sensor networks," International Journal of Distributed Sensor Networks, , vol. 12(10), pages 15501477166, October.
    • Handle: RePEc:sae:intdis:v:12:y:2016:i:10:p:1550147716666665
    DOI: 10.1177/1550147716666665
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/1550147716666665
    Download Restriction: no
    File URL: https://libkey.io/10.1177/1550147716666665?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
    ---><---

    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:12:y:2016:i:10:p:1550147716666665. 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.