IDEAS home Printed from https://ideas.repec.org/a/jbh/ijsrcs/v6y2020i3idhcseit20635.html

Analysis of Different Routing related Energy Optimization Methodologies in WSNs

Author

Listed:
  • G. Mohan Ram
  • E. Ilavarasan

Abstract

For personal, mobiles and sensor communications wireless sensor networking is an emerging concept in recent years. Normally wireless sensor network (WSN) is combined and integrated data relations for modern communication in infrastructure, energy efficiency; these are the main design parameters to improve network performance with respect to mitigate communication relations. In this paper, we describe different type’s energy optimization techniques/approaches and basic routing scenarios used for efficient communication in wireless sensor networks. To support data communication in wireless sensor networks we also give brief description about different routing protocols. And also define different routing algorithms used in data communication to increase network efficiency with respect to different network parameters. In this survey, we discuss about energy optimization approaches in wireless sensor networks, and also define several techniques which aim energy consumption in wireless nodes in WSNs.

Suggested Citation

  • G. Mohan Ram & E. Ilavarasan, 2020. "Analysis of Different Routing related Energy Optimization Methodologies in WSNs," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 6(3), pages 903-914, June.
    • Handle: RePEc:jbh:ijsrcs:v6:y2020:i3:id:hcseit20635
    DOI: 10.32628/CSEIT20635
    Note: Article URL: https://ijsrcseit.com/CSEIT20635
    as

    Download full text from publisher

    File URL: https://ijsrcseit.com/CSEIT20635
    File Function: Article URL
    Download Restriction: no
    File URL: https://ijsrcseit.com/paper/CSEIT20635.pdf
    File Function: Full text
    Download Restriction: no
    File URL: https://libkey.io/10.32628/CSEIT20635?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

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:jbh:ijsrcs:v6:y2020:i3:id:hcseit20635. 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: Pankaj Sharma (USA) (email available below). General contact details of provider: https://ijsrcseit.com/home .

    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.