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Urban IoT Edge Analytics

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Book cover Fog Computing in the Internet of Things

Abstract

The Urban Internet of Things (IoT) supports city-scale data collection and processing. It’s practical deployment poses several technical and technological challenges to overcome. In this chapter, we illustrate the main aspects of Urban IoT solutions based on Edge computing architectures. The potential to boost efficiency granted by such architectures, which bridge the gap between local and global information and processing resources, is discussed. Within this context, the key aspects introduced in this chapter are: (1) Context and computation-aware data selection and compression to minimize network load and energy expense; (2) Content-aware wireless networking protocols, where the network layer, informed by the edge processor(s), is adapted to the content and processing needs of the supported applications and algorithms, and (3) Improved data search and information availability via layered data transportation and processing architectures.

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Author information

Authors and Affiliations

  1. Princeton University, Princeton, NJ, USA

    Aakanksha Chowdhery

  2. University of California, Irvine, CA, USA

    Marco Levorato, Igor Burago & Sabur Baidya

Authors
  1. Aakanksha Chowdhery
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  2. Marco Levorato
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  3. Igor Burago
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  4. Sabur Baidya
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Corresponding author

Correspondence to Marco Levorato .

Editor information

Editors and Affiliations

  1. Department of Computer Science, University of California, Irvine, California, USA

    Amir M. Rahmani

  2. Department of Future Technologies, University of Turku, Turku, Finland

    Pasi Liljeberg

  3. Thinnect, Inc., Sunnyvale, California, USA

    Jürgo-Sören Preden

  4. Institute of Computer Technology, TU Wien, Vienna, Austria

    Axel Jantsch

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Chowdhery, A., Levorato, M., Burago, I., Baidya, S. (2018). Urban IoT Edge Analytics. In: Rahmani, A., Liljeberg, P., Preden, JS., Jantsch, A. (eds) Fog Computing in the Internet of Things. Springer, Cham. https://doi.org/10.1007/978-3-319-57639-8_6

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  • DOI: https://doi.org/10.1007/978-3-319-57639-8_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-57638-1

  • Online ISBN: 978-3-319-57639-8

  • eBook Packages: EngineeringEngineering (R0)

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