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Runtime Adaptability of Ambient Intelligence Systems Based on Component-Oriented Approach

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Guide to Ambient Intelligence in the IoT Environment

Part of the book series: Computer Communications and Networks ((CCN))

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Abstract

Technological improvements of the Internet and connected devices cause increased user expectations. People want to be offered different services in nearly every aspect of their lives. It is a key point that these services can be reached seamlessly and should be dynamically available conforming to the active daily life of today’s people. This can be achieved by having intelligent environments along with smart appliances and applications. The concept of ambient intelligence arises from this need to react with users at runtime and keep providing real-time services under changing conditions. This chapter introduces a component-oriented ontology-based approach to develop runtime adaptable ambient intelligence systems. In this approach, the adaptability mechanism is enabled through a component-oriented method with variability-related capabilities. The outcome supports the find-and-integrate method from the idea formation to the executable system, and thus reducing the need for heavy processes for development. Intelligence is provided through ontology modeling that supports repeatability of the approach in different domains, especially when used in interaction with component variability. In this context, an example problem exploiting the variability in the density of a smart stadium network is used to illustrate the application of the component-driven approach.

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Author information

Authors and Affiliations

  1. Department of Computer Engineering, Middle East Technical University, Ankara, Turkey

    Muhammed Cagri Kaya, Alperen Eroglu, Alper Karamanlioglu, Ertan Onur & Ali H. Dogru

  2. Information Technology Group, Wageningen University, Wageningen, The Netherlands

    Bedir Tekinerdogan

Authors
  1. Muhammed Cagri Kaya
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  2. Alperen Eroglu
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  3. Alper Karamanlioglu
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  4. Ertan Onur
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  5. Bedir Tekinerdogan
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  6. Ali H. Dogru
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Corresponding author

Correspondence to Muhammed Cagri Kaya .

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Editors and Affiliations

  1. Debesis Education, Derby, UK

    Zaigham Mahmood

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Kaya, M.C., Eroglu, A., Karamanlioglu, A., Onur, E., Tekinerdogan, B., Dogru, A.H. (2019). Runtime Adaptability of Ambient Intelligence Systems Based on Component-Oriented Approach. In: Mahmood, Z. (eds) Guide to Ambient Intelligence in the IoT Environment. Computer Communications and Networks. Springer, Cham. https://doi.org/10.1007/978-3-030-04173-1_4

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  • DOI: https://doi.org/10.1007/978-3-030-04173-1_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-04172-4

  • Online ISBN: 978-3-030-04173-1

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