• DocumentCode
    456193
  • Title

    Connectivity in energy balanced traffic distribution

  • Author

    Wang, Jing ; Howitt, Ivan

  • Author_Institution
    Dept. of Electr. & Comput. Eng., North Carolina Univ., Charlotte, NC
  • Volume
    1
  • fYear
    2006
  • fDate
    3-6 April 2006
  • Firstpage
    379
  • Lastpage
    384
  • Abstract
    For many sensor network applications such as wild fire detection and battlefield surveillance, it is necessary to minimize energy consumption and extend system lifetime by leveraging the redundant deployment of sensor nodes while at the same time provide full sensing coverage and communication connectivity. An energy balanced stochastic based traffic distribution (SBTD) has been introduced in J. Wang and I. Howitt (2005), which has the target to prolong the network´s lifetime. Thus, SBTD can be used to provide efficient communication connectivity in the future routing paradigm. This paper investigates the connectivity of the wireless sensor networks using the SBTD in a log-normal shadowing environment. Our main contributions include: (i) the effective communication coverage of nodes in the network using the SBTD is derived; (ii) the network connectivity and the parameters affecting the network connectivity are discussed and investigated; (iii) and the system accuracy using different values of the optimization parameter is discussed
  • Keywords
    log normal distribution; telecommunication traffic; wireless sensor networks; communication connectivity; energy balanced stochastic based traffic distribution; log-normal shadowing environment; optimization parameter; sensor network applications; Communication effectiveness; Energy consumption; Fires; Routing; Sensor systems and applications; Shadow mapping; Stochastic processes; Surveillance; Telecommunication traffic; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications and Networking Conference, 2006. WCNC 2006. IEEE
  • Conference_Location
    Las Vegas, NV
  • ISSN
    1525-3511
  • Print_ISBN
    1-4244-0269-7
  • Electronic_ISBN
    1525-3511
  • Type

    conf

  • DOI
    10.1109/WCNC.2006.1683494
  • Filename
    1683494