Storing and indexing IoT context for smart city applications

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

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

    6 Citations (Scopus)


    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.
    Original languageEnglish
    Title of host publicationInternet of Things, Smart Spaces, and Next Generation Networks and Systems
    Subtitle of host publication16th International Conference, NEW2AN 2016 and 9th Conference, ruSMART 2016, St. Petersburg, Russia, September 26–28, 2016, Proceedings
    EditorsOlga Galinina, Yevgeni Koucheryavy, Sergey Balandin
    Place of PublicationCham, Switzerland
    Number of pages14
    ISBN (Electronic)9783319463018
    ISBN (Print)9783319463001
    Publication statusPublished - 2016
    EventConference on Smart Spaces, ruSMART 2016 - St. Petersburg, Russian Federation
    Duration: 26 Sep 201628 Sep 2016
    Conference number: 9th (Proceedings)

    Publication series

    NameLecture Notes in Computer Science
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349


    ConferenceConference on Smart Spaces, ruSMART 2016
    Abbreviated titleruSMART 2016
    CountryRussian Federation
    CitySt. Petersburg
    Internet address


    • Smart city
    • Context
    • Storage
    • Internet of Things (IoT)
    • Waste management

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