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Ubiquitous and Pervasive Computing for Real-Time Energy Management and Saving

A System Architecture

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Abstract

In the present paper we investigate one of the emerging applicability fields of pervasive computing, that is, energy management and saving. We exploit innovative technologies to define a brand new system architecture for (i) centralized monitoring and (ii) real-time energy saving in distributed sub-networks of power consuming electric appliances. The architecture allows the definition of reactive and intelligent systems that take autonomous courses of action on electric devices. We also introduce a prototype which is an embodiment of such architecture, called \(\textit{MyElettra}\).

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Notes

  1. 1.

    We deliberately excluded cloud integration from object abstraction, where the idea of “local” is predominant and high performances are not required.

  2. 2.

    The protocol of choice has been the ZigBee protocol.

References

  1. International energy outlook. Technical report DOE/EIA-0484. U.S. Energy Information Administration(2016)

    Google Scholar 

  2. Anvari-Moghaddam, A., Monsef, H., Rahimi-Kian, A.: Optimal smart home energy management considering energy saving and a comfortable lifestyle. IEEE Trans. Smart Grid 6(1), 324–332 (2015)

    Article  Google Scholar 

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

    Article  MATH  Google Scholar 

  4. Botta, A., de Donato, W., Persico, V., Pescapè, A.: Integration of cloud computing and internet of things: a survey. Future Gener. Comput. Syst. 56, 684–700 (2016)

    Article  Google Scholar 

  5. Buettner, M., Greenstein, B., Sample, A.P., Smith, J.R., Wetherall, D.: Revisiting smart dust with RFID sensor networks. In: Williamson, C.L., Andersen, D., Gribble, S.D. (eds.) 7th ACM Workshop on Hot Hot Topics in Networks, Calgary, Alberta, CA, pp. 37–42. ACM SIGCOMM (2008)

    Google Scholar 

  6. Cristani, M., Karafili, E., Tomazzoli, C.: Energy Saving by Ambient Intelligence Techniques. In: Barolli, L., Xhafa, F., Takizawa, M., Enokido, T., Castiglione, A. (eds.) 17th International Conference on Network-Based Information System, NBiS 2014, Salerno, Italy, pp. 157–164. IEEE Computer Society (2014)

    Google Scholar 

  7. Cristani, M., Tomazzoli, C., Karafili, E., Olivieri, F.: Defeasible reasoning about electric consumptions. In: Barolli, L., Takizawa, M., Enokido, T., Jara, A.J., Bocchi, Y. (eds.) 30th IEEE International Conference on Advanced Information Networking and Applications, AINA 2016, Crans-Montana, Switzerland, pp. 885–892. IEEE Computer Society (2016)

    Google Scholar 

  8. Diallo, O., Rodrigues, J.J.P.C., Sene, M.: Real-time data management on wireless sensor networks: a survey. Netw. Comput. Appl. 35(3), 1013–1021 (2012)

    Article  Google Scholar 

  9. Foster, I., Kesselman, C. (eds.): The Grid: Blueprint for a New Computing Infrastructure. Morgan Kaufmann Publishers Inc., San Francisco (1999)

    Google Scholar 

  10. Mell, P., Grance, T.: The NIST definition of cloud computing. Technical report 800–145. National Institute of Standards and Technology (NIST), Gaithersburg, MD (2011)

    Google Scholar 

  11. Vastamäki, R., Sinkkonen, I., Leinonen, C.: A behavioural model of temperature controller usage and energy saving. Pers. Ubiquit. Comput. 9(4), 250–259 (2005)

    Article  Google Scholar 

  12. Weiser, M.: The computer for the 21st century. Sci. Am. 265(3), 66–75 (1991)

    Article  Google Scholar 

  13. Xu, Z., Jia, Q., Guan, X., Xie, X.: A new method to solve large-scale building energy management for energy saving. In: 2014 IEEE International Conference on Automation Science and Engineering, CASE 2014, 18–22 August 2014, New Taipei, Taiwan, pp. 940–945. IEEE (2014)

    Google Scholar 

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Acknowledgements

Real T works in the field of Software Development and System/Application Integration in compliance with the Service Oriented Architecture approach.

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Correspondence to Simone Scannapieco .

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Scannapieco, S., Tomazzoli, C. (2018). Ubiquitous and Pervasive Computing for Real-Time Energy Management and Saving. In: Barolli, L., Enokido, T. (eds) Innovative Mobile and Internet Services in Ubiquitous Computing . IMIS 2017. Advances in Intelligent Systems and Computing, vol 612. Springer, Cham. https://doi.org/10.1007/978-3-319-61542-4_1

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  • DOI: https://doi.org/10.1007/978-3-319-61542-4_1

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