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Using 6LowPAN UPnP and OSGi to Implement Adaptable Home Ambient Intelligence Network Platform

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Book cover Active Media Technology (AMT 2009)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5820))

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Abstract

By means of exposing the intrinsic relationship between home Ambient Intelligence(AmI)application system and its base network infrastructure, the paper puts forward a solution of adaptive home AmI network infrastructure by using 6LowPANUPnP and OSGi technologies. The novel model supports heterogeneous devices dynamic joining, Multiple Control Center automatic switching, uniform service & controlling and has good mobility. According to the solution, the methods for implementing the architecture and its sub-systems, as well as the technology theory for it are presented. At last, a prototype system based on Jn5139 6LowPAN is designed.

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Author information

Authors and Affiliations

  1. Embedded Software and Systems Institute, Beijing University of Technology, Beijing, China

    Zhang Hui-bing

  2. Guilin University of Electronic Technology, Guangxi, China

    Zhang Hui-bing & Zhang Jing-wei

Authors
  1. Zhang Hui-bing
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  2. Zhang Jing-wei
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Editor information

Editors and Affiliations

  1. Department of Computer Science, Hong Kong Baptist University, Kowloon Tong, Hong Kong,  

    Jiming Liu

  2. Department of Energy Systems Engineering Okayama University, 3-1-1 Tsushima-naka, Okayama, Japan

    Jinglong Wu

  3. Department of Computer Science, University of Regina, Regina, S4S 0A2, Saskatchewan, Canada

    Yiyu Yao

  4. Dept. of Intelligence Science and Technology, Graduate School of Informatics, Kyoto University, Japan

    Toyoaki Nishida

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© 2009 Springer-Verlag Berlin Heidelberg

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Hui-bing, Z., Jing-wei, Z. (2009). Using 6LowPAN UPnP and OSGi to Implement Adaptable Home Ambient Intelligence Network Platform. In: Liu, J., Wu, J., Yao, Y., Nishida, T. (eds) Active Media Technology. AMT 2009. Lecture Notes in Computer Science, vol 5820. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04875-3_29

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  • DOI: https://doi.org/10.1007/978-3-642-04875-3_29

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04874-6

  • Online ISBN: 978-3-642-04875-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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