• DocumentCode
    624619
  • Title

    Behavioral analysis and modeling of sensor network system in ambient intelligence environment

  • Author

    Xiaolong Zeng ; Zhangqin Huang ; Sheng Qian ; Yiyuan Ren ; Chunhua Xiao ; Shuo Wang

  • Author_Institution
    Inf. & Comput. Sci. Dept., Xi´an Univ. of Finance & Econ., Xi´an, China
  • fYear
    2013
  • fDate
    9-11 June 2013
  • Firstpage
    283
  • Lastpage
    288
  • Abstract
    To explore the behavior description method of sensor network system in ambient intelligence environment, this paper introduced the basic characteristics of ambient intelligence system, analyzed the architecture and basic functions of sensor network system. Moreover, an implementation scheme of the sensor network system is proposed based on the study above. This research indicates that the ambient intelligence is a complicated real-time system with perceptive function and implicit wireless communication ability, which centered on users and targeted at providing humanized and intellectualized service. Based on the behavioral analysis of the ambient intelligence system, a behavior model of perception system is established in system-level perspective by using the system-level modeling language of POOSL, tools included SHESim as well as the modeling method.
  • Keywords
    ambient intelligence; real-time systems; simulation languages; wireless sensor networks; POOSL; SHESim; ambient intelligence environment; behavioral analysis; complicated real-time system; sensor network system; system-level modeling language; wireless communication; Analytical models; Bluetooth; Handheld computers; Intelligent sensors; Object oriented modeling; Wireless communication; ambient intelligence; behavioral analysis; modeling; sensor network; system-level design;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Information Processing (ICICIP), 2013 Fourth International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4673-6248-1
  • Type

    conf

  • DOI
    10.1109/ICICIP.2013.6568083
  • Filename
    6568083