IDEAS home Printed from https://ideas.repec.org/a/sae/intdis/v7y2011i1p235724.html
   My bibliography  Save this article

Energy-Aware Distributed Intelligent Data Gathering Algorithm in Wireless Sensor Networks

Author

Listed:
  • Rongbo Zhu
  • Yingying Qin
  • Jiangqing Wang

Abstract

To plan the data collecting path for the mobile collector in wireless sensor network (WSN), an efficient energy-aware distributed intelligent data gathering algorithm (DIDGA) is proposed, which includes cluster formation and path formation phases. In cluster formation phase, an energy-efficient distributed clustering scheme is proposed to form a coverage-efficient WSN, which constructs a minimum connected dominating set (MCDS) based on maximal independent sets (MISs) in distributed and localized manner, and the node with more power is selected to be the cluster head in turn to prolong the network lifetime. In path formation phase, a path formation optimized algorithm (PFOA) is proposed to resolve the path formation NP problem with dynamic requirements. Then DIDGA uses the cluster head relay mechanism for planning the data gathering path. Compared with existed algorithms, detailed simulation results show that the proposed DIDGA can reduce average hop counts, average data gathering time, energy consumption, increase the efficiency of event detection ratio and prolong the network lifetime.

Suggested Citation

  • Rongbo Zhu & Yingying Qin & Jiangqing Wang, 2011. "Energy-Aware Distributed Intelligent Data Gathering Algorithm in Wireless Sensor Networks," International Journal of Distributed Sensor Networks, , vol. 7(1), pages 235724-2357, May.
    • Handle: RePEc:sae:intdis:v:7:y:2011:i:1:p:235724
    DOI: 10.1155/2011/235724
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1155/2011/235724
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2011/235724?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:7:y:2011:i:1:p:235724. 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.