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The Big Bucket: An IoT Cloud Solution for Smart Waste Management in Smart Cities

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Advances in Service-Oriented and Cloud Computing (ESOCC 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 707))

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Abstract

Research and industries are devoting a great effort in getting cities and communities smarter, thus to improve citizens’ Quality of Life (QoL) and paying serious attention to e-government and e-inclusion processes. This is a strategic but also very complex objective that involves both governance and citizens to address many challenges. Following this line, this paper discusses the necessity for new smart waste management systems and presents a comprehensive state of the art on the use of the Internet of Things (IoT) for smart waste recycling. In particular, we present and argue the Big Bucket IoT Cloud environment, where smart dumpsters are equipped with low-cost sensors and open source easy-to-use hardware and software. Its architectural model is discussed and compared with other existing solutions in the future perspective.

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References

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Acknowledgment

This work has been carried out in the framework of the CINI Smart Cities National Lab.

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Authors and Affiliations

  1. Department of Engineering, University of Messina, Contrada Di Dio, 98166, Messina, Italy

    Maurizio Giacobbe & Marco Scarpa

  2. DIEEI, University of Catania, Viale Andrea Doria 6, 95100, Catania, Italy

    Carlo Puliafito

Authors
  1. Maurizio Giacobbe
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  2. Carlo Puliafito
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  3. Marco Scarpa
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Corresponding authors

Correspondence to Maurizio Giacobbe , Carlo Puliafito or Marco Scarpa .

Editor information

Editors and Affiliations

  1. University of Groningen, Groningen, The Netherlands

    Alexander Lazovik

  2. Vienna University of Technology, Vienna, Austria

    Stefan Schulte

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Giacobbe, M., Puliafito, C., Scarpa, M. (2018). The Big Bucket: An IoT Cloud Solution for Smart Waste Management in Smart Cities. In: Lazovik, A., Schulte, S. (eds) Advances in Service-Oriented and Cloud Computing. ESOCC 2016. Communications in Computer and Information Science, vol 707. Springer, Cham. https://doi.org/10.1007/978-3-319-72125-5_4

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  • DOI: https://doi.org/10.1007/978-3-319-72125-5_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-72124-8

  • Online ISBN: 978-3-319-72125-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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