IDEAS home Printed from https://ideas.repec.org/a/igg/jsda00/v2y2013i4p47-67.html
   My bibliography  Save this article

CAM: Clustering Algorithms for Multimodal WSN

Author

Listed:
  • Fady Medhat

    (Department of Computer Engineering, Cairo University, Giza, Egypt)

  • Rabie A. Ramadan

    (Department of Computer Engineering, Cairo University, Giza, Egypt)

  • Ihab Talkhan

    (Department of Computer Engineering, Cairo University, Giza, Egypt)

Abstract

Sensor nodes of Wireless Sensor Network (WSN) possess very limited power resources normally a battery and a solar cell could exist in some cases, which requires efficient usage of these resources to extend the network's lifetime. Accordingly, several research areas have been investigated to prolong the network longevity, Clustering was proposed to WSN as one of these areas that could help in decreasing the amount of consumed energy. A number of clustering algorithms were devised but to the authors' knowledge, this is the first work to consider clustering in Multimodal WSN, where a node can report more than one feature e.g. temperature and humidity. We compared the two general clustering algorithms K-Mean and Fuzzy C-Means to LEACH-C and LEACH, which are two clustering algorithms specially designed for WSN. Fuzzy C-Means and K-Means showed better performance using the techniques proposed in this work over LEACH-C and LEACH.

Suggested Citation

  • Fady Medhat & Rabie A. Ramadan & Ihab Talkhan, 2013. "CAM: Clustering Algorithms for Multimodal WSN," International Journal of System Dynamics Applications (IJSDA), IGI Global, vol. 2(4), pages 47-67, October.
    • Handle: RePEc:igg:jsda00:v:2:y:2013:i:4:p:47-67
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijsda.2013100104
    Download Restriction: no
    ---><---

    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:igg:jsda00:v:2:y:2013:i:4:p:47-67. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.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.