IDEAS home Printed from https://ideas.repec.org/a/igg/jamc00/v8y2017i4p84-98.html
   My bibliography  Save this article

Optimization of Clustering in Wireless Sensor Networks Using Genetic Algorithm

Author

Listed:
  • Pritee Parwekar

    (Anil Neerukonda Institute of Technology and Sciences (ANITS), Visakhapatnam, India)

  • Sireesha Rodda

    (Department of Computer Science and Engineering, Gandhi Institute of Technology and Management, Visakhapatnam, India)

Abstract

The energy of a sensor node is a major factor for life of a network in wireless sensor network. The depletion of the sensor energy is dependent on the communication range from the sink. Clustering is mainly used to prolong the life of a network with energy consumption. This paper proposes optimization of clustering using genetic algorithm which will help to minimize the communication distance. The cluster overhead and the active and sleep mode of a sensor is also considered while calculating the fitness function to form the cluster. This approach helps to prolong the network life of sensor network. The proposed work is tested for different number of nodes and is helping to find the correct solution for the selection of cluster heads.

Suggested Citation

  • Pritee Parwekar & Sireesha Rodda, 2017. "Optimization of Clustering in Wireless Sensor Networks Using Genetic Algorithm," International Journal of Applied Metaheuristic Computing (IJAMC), IGI Global, vol. 8(4), pages 84-98, October.
    • Handle: RePEc:igg:jamc00:v:8:y:2017:i:4:p:84-98
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJAMC.2017100105
    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:jamc00:v:8:y:2017:i:4:p:84-98. 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.