IDEAS home Printed from https://ideas.repec.org/a/jbh/ijsrcs/v2y2017i3idhcseit17236.html

A Study on Big Data Analysis on WSN for Different Data

Author

Listed:
  • Lovepreet Singh
  • Dinesh Kumar

Abstract

Big data represent a new era in data exploration and utilization and covers various industrial applications, for example, professionalizing business intelligence operation in the automobile industry, solving routing and scheduling problems in transportation systems , improving the performance of supply chains by minimizing the negative effect of demand uncertainties , providing security for buildings and physical infrastructure in home surveillance and security systems. In this paper the different problems are studied from the previous work these problems are like routing and scheduling problems are occurred during the processing of big data on WSN. The most important problem in the design of the routing algorithm of WSN is the maximization of the network lifetime and balancing the energy consumption of sensor nodes. In the future we propose a Real-Time Big Data Gathering Algorithm with high Energy Efficient Distributed (HEED) network.

Suggested Citation

  • Lovepreet Singh & Dinesh Kumar, 2017. "A Study on Big Data Analysis on WSN for Different Data," 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(3), pages 180-187, June.
    • Handle: RePEc:jbh:ijsrcs:v2:y2017:i3:id:hcseit17236
    Note: Article URL: https://ijsrcseit.com/CSEIT17236
    as

    Download full text from publisher

    File URL: https://ijsrcseit.com/CSEIT17236
    File Function: Article URL
    Download Restriction: no
    File URL: https://ijsrcseit.com/paper/CSEIT17236.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:i3:id:hcseit17236. 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.