The Sensor Behavior Description and Algorithm in Ambient Intelligence Environment

  • Xiaolong Zeng
  • Zhangqin Huang
  • Yiyuan Ren
  • Chunhua Xiao
  • Lanxin Qiu
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 277)


Ambient intelligence (AmI) environment is a complicated real-time system with perceptive function and implicit wireless communication ability, which provides humanized and intellectualized service. The previous study of AmI characteristics and intelligent sensor network system architecture makes it feasible to establish a system-level behavioral model of sensor network system in AmI environment. By using POOSL modeling language under the SHESim development environment, a further description class model of system behavior was put forward in this study. Moreover, it proposed a model design sketch of various processing classes and explained the clusters described in the top behavioral model in detail, which lays excellent foundation for establishing performance analysis model in the future intelligent sensor network systems.


Ambient intelligence Sensor network system Behavioral analysis Behavioral description class Modeling 



This research was supported by the Beijing Municipal Natural Science Foundation (No. 4122010, 2012.1–2014.12). The authors acknowledge the support of the project of “energy aware model and application of access systems of the Internet of Things.” We wish to thank our reviewers for useful feedback.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Xiaolong Zeng
    • 2
  • Zhangqin Huang
    • 1
  • Yiyuan Ren
    • 1
  • Chunhua Xiao
    • 1
  • Lanxin Qiu
    • 1
  1. 1.Embedded Software and System Research InstituteBeijing University of TechnologyBeijingChina
  2. 2.Information and Computer Science Department of Statistics SchoolXi’an University of Finance and EconomicsXi’anChina

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