• DocumentCode
    3087078
  • Title

    Increasing Network Lifetime by Optimum Placement of Sensors in Wireless Sensor Networks

  • Author

    Zahraie, Majidreza Shams ; Farkhady, Alireza Zareh ; Haghighat, Abolfazl Toroghi

  • Author_Institution
    Dept. of Comput. Eng., Islamic Azad Univ. of Qazvin, Qazvin
  • fYear
    2009
  • fDate
    25-27 March 2009
  • Firstpage
    611
  • Lastpage
    616
  • Abstract
    By omitting sensors which have incorrect action in a wireless sensor network, network is reorganized again and it causes the consumption of energy and may also cause that some parts of the network go out of the coverage. The functionality of the network will be lowered when a node is thrown out from the network, so designing a sensor network with low consumption of energy is one of the prominent trends today. In this paper, we suppose that the nodes are arranged in a grid typology, and according to the limitation of energy for each sensor, we want to cover the maximum of network with the minimum active sensors. To achieve this goal, we have used a mask with specific dimensions and features. This mask is placed on different parts of the network and it creates a division according to the sensor off or on with the aim of increasing the network lifetime and maximizing coverage of the network. With respect to the math structure in the proposed algorithm, the total network lifetime will be considerably maximized.
  • Keywords
    wireless sensor networks; active sensors; energy consumption; grid typology; network lifetime; wireless sensor networks; Acoustic sensors; Computational modeling; Computer networks; Computer simulation; Energy consumption; Microprocessors; Power engineering and energy; Radar tracking; Radio communication; Wireless sensor networks; Liife time; Localization; Wireless sensor network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Modelling and Simulation, 2009. UKSIM '09. 11th International Conference on
  • Conference_Location
    Cambridge
  • Print_ISBN
    978-1-4244-3771-9
  • Electronic_ISBN
    978-0-7695-3593-7
  • Type

    conf

  • DOI
    10.1109/UKSIM.2009.43
  • Filename
    4809835