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Overcoming the Heterogeneity in the Internet of Things for Smart Cities

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Book cover Interoperability and Open-Source Solutions for the Internet of Things (InterOSS-IoT 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10218))

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Abstract

In the past few years, the viability of the Internet of Things (IoT) technology has been demonstrated, leading to increased possibilities for novel human-centric services in the smart cities. This development has resulted in numerous approaches being proposed for harnessing IoT for smart city applications. Having received a significant attention by the research community and industry, IoT adaptation has gained momentum. IoT-enabled applications are being rapidly developed in a number of domains such as energy management, waste management, traffic control, mobility, healthcare, ambient assisted living, etc. On the other hand, this high-speed development and adaptation has resulted in the emergence of heterogeneous IoT architectures, standards, middlewares, and applications. This heterogeneity is hindrance in the realization of a much anticipated IoT global eco-system. Hence, the heterogeneity (from hardware level to application level) is a critical issue that needs high-priority and must be resolved as early as possible. In this article, we present and discuss the modelling of heterogeneous IoT data streams in order to overcome the challenge of heterogeneity. The data model is used within the VITAL project which is an open source IoT system of systems. The main objective of the VITAL platform is to enable rapid development of cross-platform and cross-context IoT based applications for smart cities.

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Acknowledgment

The authors acknowledge support from the ICT-2013.1.14 - VITAL-IoT project, which is co-funded by the European Commission under the Seventh Framework Program (FP7), grant agreement number 608682. The authors also acknowledge help and contributions from all partners of the VITAL consortium.

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Authors and Affiliations

  1. Insight Centre for Data Analytics, National University of Ireland, Galway, Ireland

    Aqeel Kazmi, Zeeshan Jan, Achille Zappa & Martin Serrano

Authors
  1. Aqeel Kazmi
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  2. Zeeshan Jan
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  3. Achille Zappa
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  4. Martin Serrano
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Corresponding author

Correspondence to Aqeel Kazmi .

Editor information

Editors and Affiliations

  1. Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia

    Ivana Podnar Žarko

  2. CT RDA NEC, Siemens AG Corporate Technology, Munich, Germany

    Arne Broering

  3. Intracom SA Telecom Solutions, Peania, Greece

    Sergios Soursos

  4. Insight Centre for Data Analysis, National University of Ireland Galway , Galway, Ireland

    Martin Serrano

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Kazmi, A., Jan, Z., Zappa, A., Serrano, M. (2017). Overcoming the Heterogeneity in the Internet of Things for Smart Cities. In: Podnar Žarko, I., Broering, A., Soursos, S., Serrano, M. (eds) Interoperability and Open-Source Solutions for the Internet of Things. InterOSS-IoT 2016. Lecture Notes in Computer Science(), vol 10218. Springer, Cham. https://doi.org/10.1007/978-3-319-56877-5_2

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  • DOI: https://doi.org/10.1007/978-3-319-56877-5_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-56876-8

  • Online ISBN: 978-3-319-56877-5

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