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Towards Urban Mobile Sensing as a Service: An Experience from Southern Italy

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Internet of Things. IoT Infrastructures (IoT360 2015)

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Abstract

A considerable amount of research activities deals with Internet of Things and Smart Cities, by leveraging the continuously growing usage of cloud computing solutions and mobile devices. The pervasivity of mobiles also enables the Mobile Crowd Sensing paradigm, which aims at using mobile-embedded sensors to ease the monitoring of multiple phenomena. The combination of these elements has recently converged into a new sensing model: Sensing as a Service (S2aaS), which is expected to offer novel monitoring approaches in the next years. In this paper, we propose a platform to pave the way for applying S2aaS in urban scenarios by considering both noise and electromagnetic field exposure. Design and implementation choices are discussed, along with privacy-related issues and preliminary monitoring tests conducted at a city in Southern Italy, in order to demonstrate the suitability of our approach.

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Notes

  1. 1.

    https://itunes.apple.com/us/app/advanced-decibel-meter/id595718101?mt=8.

  2. 2.

    https://play.google.com/store/apps/details?id=com.soundmeter.app&hl=it.

  3. 3.

    Android 4.2 APIs (Level 17): http://developer.android.com/about/versions/android-4.2.html.

  4. 4.

    Orion: http://catalogue.fiware.org/enablers/publishsubscribe-context-broker-orion-context-broker.

  5. 5.

    Cosmos: http://catalogue.fiware.org/enablers/bigdata-analysis-cosmos.

  6. 6.

    Cygnus Connector: https://github.com/telefonicaid/fiware-cygnus#section1.

  7. 7.

    Pentaho Community Edition: http://community.pentaho.com/projects/data-integration/.

  8. 8.

    CartoDB: https://cartodb.com.

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Acknowledgement

This research activity has been partially funded within the EU FIWARE accelerator “frontierCities” (Grant agreement n. 632853, sub-grant agreement n. 021).

Author information

Authors and Affiliations

  1. Department of Innovation Engineering, University of Salento, via Monteroni sn, 73100, Lecce, Italy

    Marco Zappatore, Antonella Longo, Mario A. Bochicchio, Daniele Zappatore, Alessandro A. Morrone & Gianluca De Mitri

  2. Alba Project s.r.l., via Don Luigi Sturzo 36, 73100, Lecce, Italy

    Marco Zappatore & Antonella Longo

Authors
  1. Marco Zappatore
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  2. Antonella Longo
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  3. Mario A. Bochicchio
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  4. Daniele Zappatore
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  5. Alessandro A. Morrone
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  6. Gianluca De Mitri
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Corresponding author

Correspondence to Marco Zappatore .

Editor information

Editors and Affiliations

  1. IBM Research, Haifa, Israel

    Benny Mandler

  2. CONNECT Centre, Trinity College, University of Dublin, Dublin, Ireland

    Johann Marquez-Barja

  3. GTA/PEE-COPPE/DEL-Poli, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil

    Miguel Elias Mitre Campista

  4. Faculty of Materials Science and Technology in Trnava, Slovak University of Technology in Bratislava, Trnava, Slovakia

    Dagmar Cagáňová

  5. Institut Télécom SudParis, Evry, France

    Hakima Chaouchi

  6. College of Communication and Information, University of Kentucky, Lexington, KY, USA

    Sherali Zeadally

  7. College of Technological Innovation, Zayed University, Dubai, United Arab Emirates

    Mohamad Badra

  8. University of Pisa, Pisa, Holy See (Vatican City State)

    Stefano Giordano

  9. DICIEAMA Department, University of Messina, Messina, Italy

    Maria Fazio

  10. CREATE-NET, Trento, Italy

    Andrey Somov

  11. University of Trento, Trento, Italy

    Radu-Laurentiu Vieriu

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© 2016 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Zappatore, M., Longo, A., Bochicchio, M.A., Zappatore, D., Morrone, A.A., De Mitri, G. (2016). Towards Urban Mobile Sensing as a Service: An Experience from Southern Italy. In: Mandler, B., et al. Internet of Things. IoT Infrastructures. IoT360 2015. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 169. Springer, Cham. https://doi.org/10.1007/978-3-319-47063-4_39

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  • DOI: https://doi.org/10.1007/978-3-319-47063-4_39

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-47062-7

  • Online ISBN: 978-3-319-47063-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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