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Storing and Indexing IoT Context for Smart City Applications

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Internet of Things, Smart Spaces, and Next Generation Networks and Systems (ruSMART 2016, NEW2AN 2016)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 9870))

Abstract

IoT system interoperability, data fusion, data discovery and access control for providing Context-as-a-Service as well as tools for building context-aware smart city applications are all significant research challenges for IoT-enabled smart cities. These middleware platforms have to cope with potentially big data generated from millions of devices in large cities. The amount of context, metadata, annotations in IoT ecosystems equals and may even exceed the amount of raw data. This paper discusses the challenges of context storage, retrieval and indexing for smart city applications. We analyse, compare and categorise existing approaches, tools and technologies relevant to the identified challenges. The paper proposes a conceptual architecture of a hybrid context storage and indexing mechanism that enables and supports the Context Spaces theory based representation of context for large-scale smart city applications. We illustrate the proposed approach using solid waste management system with adaptive on-demand garbage collection from IoT-enabled garbage bins.

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Acknowledgements

Part of this work has been carried out in the scope of the project bIoTope which is co-funded by the European Commission under Horizon-2020 program, contract number H2020-ICT-2015/688203 – bIoTope. The research has been carried out with the financial support of the Ministry of Education and Science of the Russian Federation under grant agreement RFMEFI58716X0031.

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Authors and Affiliations

  1. Faculty of Information Technology, Monash University, Melbourne, Australia

    Alexey Medvedev, Maria Indrawan-Santiago, Pari Delir Haghighi & Alireza Hassani

  2. CSIRO, Data61, Melbourne, Australia

    Arkady Zaslavsky

  3. ITMO University, St. Petersburg, Russia

    Arkady Zaslavsky

Authors
  1. Alexey Medvedev
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  2. Arkady Zaslavsky
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  3. Maria Indrawan-Santiago
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  4. Pari Delir Haghighi
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  5. Alireza Hassani
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Corresponding author

Correspondence to Alexey Medvedev .

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Editors and Affiliations

  1. Tampere University of Technology , Tampere, Finland

    Olga Galinina

  2. FRUCT Oy , Helsinki, Finland

    Sergey Balandin

  3. Tampere University of Technology , Tampere, Finland

    Yevgeni Koucheryavy

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Medvedev, A., Zaslavsky, A., Indrawan-Santiago, M., Haghighi, P.D., Hassani, A. (2016). Storing and Indexing IoT Context for Smart City Applications. In: Galinina, O., Balandin, S., Koucheryavy, Y. (eds) Internet of Things, Smart Spaces, and Next Generation Networks and Systems. ruSMART NEW2AN 2016 2016. Lecture Notes in Computer Science(), vol 9870. Springer, Cham. https://doi.org/10.1007/978-3-319-46301-8_10

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  • DOI: https://doi.org/10.1007/978-3-319-46301-8_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-46300-1

  • Online ISBN: 978-3-319-46301-8

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