Skip to main content

Smart Agents and Fog Computing for Smart City Applications

  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9704))

Abstract

New Internet of Things (IoT) applications that leverage ubiquitous connectivity, big data and analytics are enabling Smart City initiatives all over the world. These new applications introduce tremendous new capabilities such as the ability to monitor, manage and control devices remotely, and to create new insights and actionable information from massive streams of real-time data. Supporting this new approach requires the adoption of new paradigms. In this paper, agent tecnology is combined with the emergent concept of Fog computing to design control systems based on the decentralization of control functions over distributed autonomous and cooperative entities that are running at the edge of the network. We describe the Rainbow platform that is designed to bring computation as close as possible to the physical part. Multi-agent systems running on top of Rainbow create smart services using adaptive and decentralized algorithms which exploit the principles of collective intelligence.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Notes

  1. 1.

    The RES-NOVAE - “Buildings, roads, networks, new virtuous targets for the Environment and Energy” project is funded by the Italian Government (PON 04a2_E).

References

  1. Atzori, L., Iera, A., Morabito, G.: The internet of things: a survey. Comput. Netw. 54(15), 2787–2805 (2010)

    Article  MATH  Google Scholar 

  2. Alba, E.: Intelligent systems for smart cities. In: Proceedings of the Companion Publication of the 2015 on Genetic and Evolutionary Computation Conference, pp. 707–722. ACM (2015)

    Google Scholar 

  3. Wu, Q., Ding, G., Xu, Y., Feng, S., Du, Z., Wang, J., Long, K.: Cognitive internet of things: a new paradigm beyond connection. IEEE Internet Things J. 1(2), 129–143 (2014)

    Article  Google Scholar 

  4. Bonabeau, E., Dorigo, M., Theraulaz, G.: Swarm intelligence: from natural to artificial systems. Oxford University Press, New York (1999)

    MATH  Google Scholar 

  5. Bonomi, F., Milito, R., Zhu, J., Addepalli, S.: Fog computing and its role in the internet of things. In: Proceedings of the 1st Edition of the MCC Workshop on Mobile Cloud Computing, pp. 13–16. ACM (2012)

    Google Scholar 

  6. Giordano, A., Spezzano, G., Vinci, A.: A smart platform for large-scale cyber-physical systems. In: Guerrieri, A., Loscri, V., Rovella, A., lo Fortino, G. (eds.) Management of Cyber Physical Objects in the Future Internet of Things, pp. 115–134. Springer, New York (2016)

    Chapter  Google Scholar 

  7. Schweizer, I., Bärtl, R., Schulz, A., Probst, F., Mühläuser, M.: Noisemap-real-time participatory noise maps. In: Proceedings of 2nd International Workshop on Sensing Applications on Mobile Phones (PhoneSense 2011), pp. 1–5 (2011)

    Google Scholar 

  8. Directive, E.: The environmental noise directive (2002/49/eg). Official J. Eur. Communities (2002). http://eur-lex.europa.eu/legal-content/EN/TXT/?uri=celex%3A32002L0049

  9. Bicocchi, N., Mamei, M., Zambonelli, F.: Self-organizing virtual macro sensors. TAAS 7(1), 2 (2012)

    Article  Google Scholar 

  10. Jelasity, M., Montresor, A., Babaoglu, Ö.: Gossip-based aggregation in large dynamic networks. ACM Trans. Comput. Syst. 23(3), 219–252 (2005)

    Article  Google Scholar 

  11. Piro, P., Carbone, M., Garofalo, G.: Distributed vs. concentrated storage options for controlling cso volumes and pollutant loads. Water Pract. Technol. 5(3), wpt2010071 (2010)

    Article  Google Scholar 

  12. Rossman, L.A., Supply, W.: Storm water management model, quality assurance report: dynamic wave flow routing. US Environmental Protection Agency, Office of Research and Development, National Research Management Research Laboratory (2006)

    Google Scholar 

  13. Giordano, A., Spezzano, G., Vinci, A., Garofalo, G., Piro, P.: A cyber-physical system for distributed real-time control of urban drainage networks in smart cities. In: Fortino, G., Di Fatta, G., Li, W., Ochoa, S., Cuzzocrea, A., Pathan, M. (eds.) IDCS 2014. LNCS, vol. 8729, pp. 87–98. Springer, Heidelberg (2014)

    Google Scholar 

Download references

Acknowledgements

This research has been developed within the RES-NOVAE project, “Buildings, Roads, Networks, New Virtuous Targets for the Environment and Energy”, funded by Italian Government. RES-NOVAE aims to implement new solutions for Smart Cities.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Giandomenico Spezzano .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this paper

Cite this paper

Giordano, A., Spezzano, G., Vinci, A. (2016). Smart Agents and Fog Computing for Smart City Applications. In: Alba, E., Chicano, F., Luque, G. (eds) Smart Cities. Smart-CT 2016. Lecture Notes in Computer Science(), vol 9704. Springer, Cham. https://doi.org/10.1007/978-3-319-39595-1_14

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-39595-1_14

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-39594-4

  • Online ISBN: 978-3-319-39595-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics