• DocumentCode
    3347934
  • Title

    A Novel Routing Algorithm for Energy-Efficient in Wireless Sensor Networks

  • Author

    Xie Miao ; Huang Ting-lei ; Zhu Xiao-shu

  • Author_Institution
    Sch. of Comput. & Control, Guilin Univ. of Electron. Technol., Guilin, China
  • fYear
    2009
  • fDate
    14-17 Oct. 2009
  • Firstpage
    65
  • Lastpage
    68
  • Abstract
    For WSN, the network node energy is limited, so how to save and even the consumption of the overall energy is an important problem. Clustering is one of the design methods used to manage the network energy consumption efficiently. In this paper, we use genetic simulated annealing algorithm(GSAA) to find an optimal cluster formation and prolong network lifetime. The proposed algorithm takes the nodes position and energy consumption of the network as objective function. Simulation results show that the system´s performance have further improved by using GSAA over some existing cluster-based routing protocols.
  • Keywords
    genetic algorithms; routing protocols; simulated annealing; wireless sensor networks; WSN; cluster-based routing protocols; clustering; energy consumption; genetic simulated annealing algorithm; network node energy; optimal cluster formation; wireless sensor networks; Clustering algorithms; Design methodology; Energy consumption; Energy efficiency; Energy management; Genetics; Routing; Simulated annealing; System performance; Wireless sensor networks; WSN; clustering; genetic simulated annealing algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Genetic and Evolutionary Computing, 2009. WGEC '09. 3rd International Conference on
  • Conference_Location
    Guilin
  • Print_ISBN
    978-0-7695-3899-0
  • Type

    conf

  • DOI
    10.1109/WGEC.2009.116
  • Filename
    5402947