• DocumentCode
    3239332
  • Title

    An efficient oil and gas pipeline monitoring systems based on wireless sensor networks

  • Author

    Huaping Yu ; Mei Guo

  • Author_Institution
    Coll. of Comput. Sci., Yangtze Univ., Jingzhou, China
  • fYear
    2012
  • fDate
    14-16 Aug. 2012
  • Firstpage
    178
  • Lastpage
    181
  • Abstract
    Wireless sensor networks (WSN) is considered an effective technique to collect oil and gas transmission pipeline information. The studies that use conventional technologies (such as GPRS, microwave, radio modem and cables etc.) to collect these pipelines state information have the disadvantages of high cost of system maintenance and long data packet delay. The usage of WSN in oil and gas pipeline monitoring system is expected to be able to overcome the above difficulties. This paper proposes an efficient pipeline state information collection algorithm based on sensor node line deployment strategy and data fusion strategy in WSN. And the analysis result of this algorithm shows that the proposed algorithm can remarkably improve the network performances on delay and energy, ensure the urgency data to be propagated effectively and prolong the network life span. It is characterized with high performance, low cost and control efficiency.
  • Keywords
    packet radio networks; pipelines; sensor fusion; wireless sensor networks; GPRS; WSN; data fusion strategy; efficient gas pipeline monitoring systems; efficient oil pipeline monitoring systems; network performances; pipelines state information; radio modem; sensor node line deployment strategy; wireless sensor networks; Algorithm design and analysis; Data collection; Data integration; Delay; Monitoring; Pipelines; Wireless sensor networks; data collection; low maintenance cost; oil and gas pipeline information; wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Security and Intelligence Control (ISIC), 2012 International Conference on
  • Conference_Location
    Yunlin
  • Print_ISBN
    978-1-4673-2587-5
  • Type

    conf

  • DOI
    10.1109/ISIC.2012.6449735
  • Filename
    6449735