• DocumentCode
    3100099
  • Title

    Energy efficient multilevel hierarchical data aggregation mechanism for wireless sensor networks

  • Author

    Abhijith, H.V. ; Sindhu, M.P.

  • Author_Institution
    Dept. of Inf. Sci. & Eng., Sai Vidya Inst. of Technol., Bangalore, India
  • fYear
    2015
  • fDate
    12-13 June 2015
  • Firstpage
    149
  • Lastpage
    153
  • Abstract
    Wireless sensor network (WSN) is considered as a most trusted technology because of its wide range of applications in various fields like healthcare, industry, military, agriculture etc. WSN consists of seveal sensor nodes with each having the capacity to sense the data, process the sensed data and communicate the processed data. Usually sensor nodes are densely, randomly deployed at the region of interest. This kind of deployment leads to the generation of enormous ammount of redundant sensor data. Routing of such redundant data consumes more energy and saturates the network resources. Hence Data fussion technique is used to reduce the redundant transmissions in the network by fussing the redundant data packets so that network lifetime is enhanced. There are different data fussion techniques which perform data fussion in a single level or in two levels. In this paper we are proposing a multilevel hierarchical data aggregation technique which handles the redundant transmissions in an efficient manner.
  • Keywords
    wireless sensor networks; agriculture; data aggregation technique; data fussion technique; energy efficient multilevel hierarchical data aggregation mechanism; healthcare; industry; military; network lifetime; sensor nodes; wireless sensor networks; Aggregates; Conferences; Data communication; Energy efficiency; Protocols; Routing; Wireless sensor networks; WSN; data aggregation; data fussion; network lifetime; sensor nodes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advance Computing Conference (IACC), 2015 IEEE International
  • Conference_Location
    Banglore
  • Print_ISBN
    978-1-4799-8046-8
  • Type

    conf

  • DOI
    10.1109/IADCC.2015.7154688
  • Filename
    7154688