IDEAS home Printed from https://ideas.repec.org/a/jbh/ijsrcs/v2y2017i6idhcseit17269.html

Improving Energy Efficiency of SenCar by Energy harvesting in Wireless Sensor Networks : A Survey

Author

Listed:
  • S. Subadra
  • P. Radha

Abstract

Wireless Sensor Networks (WSN), an element of pervasive computing, are presently being used on a large scale to monitor real-time environmental status. Recently in Wireless sensor networks the new technology implemented is energy harvesting to improve the energy of mobile collector called SenCar. It is used to collect data from designated sensors and balance energy consumption in the network. The optimized algorithm is used to improve the data collection tour length and to achieve maximum network utility by adjusting data rates, link scheduling and flow routing. In this paper we study the various approaches used for energy harvesting of mobile collector and proposed to use multiple mobile collectors by partitioning the network into different regions such that each mobile collector only deals with a portion of the network. Selection of anchors to minimize the hop count and to improve the hot spot of each node in the network is also considered. Finally, we compare the underlying approaches and solutions

Suggested Citation

  • S. Subadra & P. Radha, 2017. "Improving Energy Efficiency of SenCar by Energy harvesting in Wireless Sensor Networks : A Survey," 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(6), pages 22-26, December.
  • Handle: RePEc:jbh:ijsrcs:v2:y2017:i6:id:hcseit17269
    Note: Article URL: https://ijsrcseit.com/CSEIT17269
    as

    Download full text from publisher

    File URL: https://ijsrcseit.com/CSEIT17269
    File Function: Article URL
    Download Restriction: no

    File URL: https://ijsrcseit.com/paper/CSEIT17269.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:i6:id:hcseit17269. 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.