• DocumentCode
    2606315
  • Title

    Energy-Efficient Chain-Type Wireless Sensor Network for Gas Monitoring

  • Author

    Zhou, Gongbo ; Zhu, Zhencai ; Chen, Guangzhu ; Hu, Ningning

  • Author_Institution
    Sch. of Mech. & Electr. Eng., China Univ. of Min. & Technol., Xuzhou, China
  • Volume
    2
  • fYear
    2009
  • fDate
    21-22 May 2009
  • Firstpage
    125
  • Lastpage
    128
  • Abstract
    As a supplement of current wired gas monitoring system, wireless sensor network can be used to cover the blind area, and to diagnose the faults of wired system. The concept of novel chain-type wireless sensor network (NCWSN) for gas monitoring in coal mine with multi-sections is defined. The connectivity of NCWSN is considered too. To focus on gas monitoring, the advantages of NCWSN for gas monitoring are introduced first, then two energy-efficient methods are adopted in gas monitoring NCWSN which are node scheduling and data fusion. The scheme of node scheduling can keep balance of the energy cost by transmitting energy distribution frame in certain section. The scheme of data fusion can reduce transmission data bits by adopting fuzzy sets. Finally, performances of NCWSN are investigated including energy efficiency and network capability. It is shows that energy efficiency is improved to double by adopting node scheduling and data fusion. In addition, it is important to keep the balance among energy cost, network capability and detection precision by choosing appropriate number of sections.
  • Keywords
    fuzzy set theory; sensor fusion; wireless sensor networks; coal mine; data fusion; energy-efficient chain-type wireless sensor network; fuzzy sets; gas monitoring; node scheduling; Accidents; Computer networks; Costs; Energy efficiency; Fuzzy sets; Gas detectors; Mechanical sensors; Monitoring; Network topology; Wireless sensor networks; Wireless sensor network; chain-type; energy cost; fuzzy sets; gas monitoring;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Computing Science, 2009. ICIC '09. Second International Conference on
  • Conference_Location
    Manchester
  • Print_ISBN
    978-0-7695-3634-7
  • Type

    conf

  • DOI
    10.1109/ICIC.2009.140
  • Filename
    5169024