• DocumentCode
    1781093
  • Title

    The strategy of probe station selection of active probing in WSNs

  • Author

    Hang Zhou ; Yang Yang ; Xuesong Qiu ; Zhipeng Gao

  • Author_Institution
    State Key Lab. of Networking & Switching Technol., Beijing Univ. of Posts & Telecommun., Beijing, China
  • fYear
    2014
  • fDate
    17-19 Sept. 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In the management of WSNs, the mechanism of fault detection and location based on active probing has been widely applied. The main optimal direction of active probing is to maximize the coverage of nodes in the network by sending minimal set of probes from probe stations. Therefore, before probing, selecting optimizational station set to improve reachable rates of probed nodes has significant influence on detection effect of active probing. In this paper, we propose an optimizational strategy of probe station selection (PSS) by Genetic Algorithm (GA) and achieve the improvement of confirmed achievable rates of probed nodes. Meanwhile, lower runtime cost and more reasonable usage of energy are reached.
  • Keywords
    fault location; genetic algorithms; probes; telecommunication network management; wireless sensor networks; GA; PSS; WSN; active probing; fault detection; fault location; genetic algorithm; probe station selection; wireless sensor networks; Monitoring; Probes; Runtime; Signal to noise ratio; Sociology; Statistics; Wireless sensor networks; GA; active probing; shadow node; station selection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Network Operations and Management Symposium (APNOMS), 2014 16th Asia-Pacific
  • Conference_Location
    Hsinchu
  • Type

    conf

  • DOI
    10.1109/APNOMS.2014.6996549
  • Filename
    6996549