IDEAS home Printed from https://ideas.repec.org/a/jbh/ijsrcs/v2y2017i1idhcseit17219.html

Mobile Energy Efficient Selective Opportunistic Routing for Mobile Wireless Sensor Networks

Author

Listed:
  • I. Chandravathana
  • A. Mythili
  • P. B. Sangamithraa

Abstract

When Wireless Sensor Networks (WSN) is considered the energy consumption becomes the major issue. Since the sensor nodes are deployed in a rough terrain with unpredictable environmental conditions the nodes may fail due to battery drain and at many situations the batteries cannot be replaced. When Mobile Wireless Sensor Networks (MWSN) are considered the energy consumption becomes a critical issue. It would be wise to minimize the energy consumption by using a better routing algorithm so that a quality path can be selected. One such routing protocol is Opportunistic routing in this type of routing for each packet the next relay node is selected dynamically, Specifically this paper deals with an opportunistic routing algorithm called Mobile Energy Efficient Selective Opportunistic Routing (MEESOR) that reduces the size of the forwarder list by including the neighbors that are nearer to the destination .The selection of the relay node depends the nodes distance from the destination and the residual energy. The routing of the acknowledgement also takes place in an opportunistic manner as the data packet so that the energy consumption gets balanced. The Route Failure Notification provides a better indication to select a new route. The algorithm provides better results than the existing opportunistic routing algorithms in terms of End-to-End delay, and network life time.

Suggested Citation

  • I. Chandravathana & A. Mythili & P. B. Sangamithraa, 2017. "Mobile Energy Efficient Selective Opportunistic Routing for Mobile Wireless Sensor Networks," 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. 2(1), pages 171-177, February.
  • Handle: RePEc:jbh:ijsrcs:v2:y2017:i1:id:hcseit17219
    Note: Article URL: https://ijsrcseit.com/CSEIT17219
    as

    Download full text from publisher

    File URL: https://ijsrcseit.com/CSEIT17219
    File Function: Article URL
    Download Restriction: no

    File URL: https://ijsrcseit.com/paper/CSEIT17219.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    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:v2:y2017:i1:id:hcseit17219. 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.