• DocumentCode
    147697
  • Title

    Modeling and management of Baoxie sensor web resources based on the node meta-model

  • Author

    Ke Wang ; Nengcheng Chen ; Changjiang Xiao

  • Author_Institution
    State Key Lab. for Inf. Eng. in Surveying, Wuhan Univ., Wuhan, China
  • fYear
    2014
  • fDate
    25-27 June 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Sensor web is a complex system consisting of various distributed node resources. The standardized modeling and integrated management of heterogeneous nodes would lay the foundation for constructing efficient and reliable sensor web systems. This paper presents an approach for node modeling and management based on the sensor web node meta-model. According to the nine-tuple node metadata structures defined in the meta-model framework, the node modeling workflow is designed and applied in the experimental field in Baoxie Town. The soil moisture monitoring nodes are selected as examples to test the availability of the proposed modeling method. With the core unit and service connection features described, the different resource models and services could be integrated into one unified management platform through model reuse and service combination. The experiments of Baoxie sensor web system prove that the proposed method can provide a powerful tool for the integrated management of node resources.
  • Keywords
    Web services; environmental monitoring (geophysics); geographic information systems; geophysical techniques; moisture; soil; wireless sensor networks; Baoxie Town; Baoxie sensor Web resources; node meta-model; node modeling; soil moisture monitoring nodes; unified management platform; Availability; Barium; Interpolation; Monitoring; Temperature sensors; Baoxie experimental field; Sensor web resource; integrated management; node modeling; soil moisture monitoring;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoinformatics (GeoInformatics), 2014 22nd International Conference on
  • Conference_Location
    Kaohsiung
  • ISSN
    2161-024X
  • Type

    conf

  • DOI
    10.1109/GEOINFORMATICS.2014.6950810
  • Filename
    6950810