• DocumentCode
    3522877
  • Title

    A new centralized localization algorithm for wireless sensor network

  • Author

    Zhang, Qingguo ; Huang, Jingwei ; Wang, Jinghua ; Jin, Cong ; Ye, Junmin ; Zhang, Wei

  • Author_Institution
    Sch. of Comput., Wuhan Univ., Wuhan
  • fYear
    2008
  • fDate
    25-27 Aug. 2008
  • Firstpage
    625
  • Lastpage
    629
  • Abstract
    In most sensor network applications, the information gathered by sensors will be meaningless without the location of the sensor nodes. Node localization has been a topic of active research in recent years. Accurate self-localization capability is highly desirable in wireless sensor network (WSN). This paper proposes a new centralized localization algorithm for WSN. Given the distances between a sensor and its a few 1-hop neighbors, the proposed algorithm can estimate the sensorpsilas position with genetic algorithm(GA). The sensor doesnpsilat have to neighbor to anchors. The localization accuracy is very high. Four example problems are used to evaluate the performance of the proposed algorithm. Simulation results show that our algorithm can achieve higher accurate position estimation than semi-definite programming with gradient search localization (SDPL) [11] and simulated annealing based localization (SAL)[13].
  • Keywords
    genetic algorithms; wireless sensor networks; 1-hop neighbors; centralized localization algorithm; genetic algorithm; gradient search localization; semidefinite programming; sensor node location; simulated annealing based localization; wireless sensor network; Application software; Computational modeling; Computer networks; Event detection; Fires; Genetics; Global Positioning System; Patient monitoring; Temperature sensors; Wireless sensor networks; WSN; genetic algorithm; localization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications and Networking in China, 2008. ChinaCom 2008. Third International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4244-2373-6
  • Electronic_ISBN
    978-1-4244-2374-3
  • Type

    conf

  • DOI
    10.1109/CHINACOM.2008.4685104
  • Filename
    4685104