• DocumentCode
    2326441
  • Title

    Energy efficient cluster to cluster communication for correlated data at wireless sensor network

  • Author

    Islam, Mohammad Rakibul

  • Author_Institution
    Electr. & Electron. Eng. Dept., Islamic Univ. of Technol., Gazipur, Bangladesh
  • fYear
    2010
  • fDate
    18-20 Dec. 2010
  • Firstpage
    131
  • Lastpage
    134
  • Abstract
    Energy efficient data transfer is one of the key factors for energy efficient wireless sensor network (WSN). In this paper, an energy efficient cooperative technique is proposed for a WSN where selected numbers of sensors at the transmitting end are used to form a MIMO structure wirelessly connected with selected number of sensors at the receiving end. The selection of nodes in the transmitting end is based on a selection function which is a combination of channel condition, residual energy, inter sensor distance in a cluster and geographical location whereas the selection in receiving side is performed on the basis of channel condition. Energy models are evaluated for correlated scenario. Experimental results show that the selected MIMO structure outperforms the unselected MIMO in terms of total energy consumption and hence in energy efficiency.
  • Keywords
    MIMO communication; cooperative communication; wireless channels; wireless sensor networks; MIMO structure; channel condition; cluster to cluster communication; cooperative technique; correlated data; energy consumption; energy efficient cluster; energy efficient data transfer; geographical location; inter sensor distance; residual energy; selection function; wireless sensor network; Cooperative technique; MIMO; correlated data; selective approach; wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Computer Engineering (ICECE), 2010 International Conference on
  • Conference_Location
    Dhaka
  • Print_ISBN
    978-1-4244-6277-3
  • Type

    conf

  • DOI
    10.1109/ICELCE.2010.5700644
  • Filename
    5700644