• DocumentCode
    2743782
  • Title

    Prolonging Sensor Network Lifetime with Initial Energy Level Assignment

  • Author

    Lijie Ren ; Zhongwen Guo ; Renzhong Ma

  • Author_Institution
    Dept. of Comput. Sci., Ocean Univ. of China, Qingdao
  • fYear
    2008
  • fDate
    6-8 Aug. 2008
  • Firstpage
    231
  • Lastpage
    236
  • Abstract
    Research efforts have been made to design optimal sensor placement schemes. This paper focuses on prolonging the sensor network lifetime by assigning the sensor nodes with different initial power level. An initial energy assignment (IEA) strategy is proposed according to their energy consumption for lifetime maximization. In the two-tier sensor network architecture, the IEA strategy can be used for the second-tier of relay nodes. The location and energy level of the sensors are given to optimal the load balance and prolong the network lifetime. In simulations we demonstrate that, when the total available energy of all sensors is limited, the network lives 92% longer using the IEA strategy than using the uniform initial energy assignment strategy. The numerical approximation for the IEA strategy is presented in this paper, and the optimal sensor numbers to maximize the network lifetime on the IEA strategy are also discussed.
  • Keywords
    numerical analysis; wireless sensor networks; initial energy level assignment; lifetime maximization; numerical approximation; optimal sensor placement schemes; two-tier sensor network architecture; wireless sensor networks; Artificial intelligence; Computer science; Energy consumption; Energy states; Network topology; Oceans; Relays; Software engineering; Telecommunication traffic; Wireless sensor networks; initial energy assignment; network lifetime; sensor placement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, 2008. SNPD '08. Ninth ACIS International Conference on
  • Conference_Location
    Phuket
  • Print_ISBN
    978-0-7695-3263-9
  • Type

    conf

  • DOI
    10.1109/SNPD.2008.21
  • Filename
    4617376