• DocumentCode
    2039743
  • Title

    Minimizing energy consumption within wireless sensors networks using optimal transmission range between nodes

  • Author

    Shebli, F. ; Dayoub, I. ; Foubat, A. Okassa M ; Rivenq, A. ; Rouvaen, J.M.

  • Author_Institution
    CNRS, Univ. of Valenciennes, Valenciennes, France
  • fYear
    2007
  • fDate
    24-27 Nov. 2007
  • Firstpage
    105
  • Lastpage
    108
  • Abstract
    Recent advances in wireless communications and electronics have enabled the development of low-power and energy consumption, multifunctional sensor nodes that are small in size and communicate in short distances. These tiny sensor nodes, which consist of sensing and data processing, leverage the idea of sensor networks. Sensor size represents a significant limitation mainly in terms of energy autonomy and therefore of life period, for the batteries have to be too tiny. This is the reason why intensive research is being conducted nowadays on how to control sensor energy consumption within a network, taking communications into account as a priority. For this purpose we have proposed a method to calculate energy consumption within the wireless sensor networks according to the number of information packets sent, the number of nodes and, furthermore, we have succeeded in reducing energy consumption within the sensor networks.
  • Keywords
    energy consumption; wireless sensor networks; multifunctional sensor node; optimal transmission; sensor energy consumption; wireless sensors network; Data communication; Energy consumption; Integrated circuit modeling; Network topology; Power system modeling; Routing; Sensor phenomena and characterization; Sensor systems; Spread spectrum communication; Wireless sensor networks; Clustering; Energy consummation; Routing; Wireless sensors networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications, 2007. ICSPC 2007. IEEE International Conference on
  • Conference_Location
    Dubai
  • Print_ISBN
    978-1-4244-1235-8
  • Electronic_ISBN
    978-1-4244-1236-5
  • Type

    conf

  • DOI
    10.1109/ICSPC.2007.4728266
  • Filename
    4728266