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The Sensor Behavior Description and Algorithm in Ambient Intelligence Environment

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Foundations of Intelligent Systems

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 277))

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Abstract

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.

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Acknowledgment

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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Correspondence to Zhangqin Huang .

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Zeng, X., Huang, Z., Ren, Y., Xiao, C., Qiu, L. (2014). The Sensor Behavior Description and Algorithm in Ambient Intelligence Environment. In: Wen, Z., Li, T. (eds) Foundations of Intelligent Systems. Advances in Intelligent Systems and Computing, vol 277. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54924-3_43

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  • DOI: https://doi.org/10.1007/978-3-642-54924-3_43

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