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Extending the internet of energy by a social networking of human users and autonomous agents

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Abstract

The spread of IoT technologies fostered the integration of smart devices in cyber physical systems, where the interactions among devices and with human users become more and more complex and intense. Software agents are a programming paradigm that allows for providing intelligence to devices leveraging context awarness, reasoning techniques and communication mechanisms. In this paper we present the design and development of a social network of intelligent agents, which interact with the users and among them using common services and P2P overlay. The emergent behavior of users and agents, that is the optimal charging schedule of e-cars, is achieved recommending the cheapest charging station that does not affect the global distance to be covered for recharging. It optimizes the waiting time reducing the length of the queue at the charging station and global distance covered by all e-cars.

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Notes

  1. https://pypi.python.org/pypi/SPADE

  2. https://elgg.org

  3. https://www.ejabberd.im

  4. https://influxdata.com

  5. http://deap.readthedocs.org

  6. http://www.sviluppoeconomico.gov.it/index.php/it/open-data/elenco-dataset/2032336-carburanti-prezzi-praticati-e-anagrafica-degli-impianti http://www.sviluppoeconomico.gov.it/index.php/it/open-data/elenco-dataset/2032336-carburanti-prezzi-praticati-e-anagrafica-degli-impianti

  7. http://opendata.comune.fi.it/statistica_territorio/dataset_0105.html

  8. http://cossmic.eu

References

  1. Alam KM, Saini M, Saddik AE (2015) Toward social internet of vehicles: concept, architecture, and applications. IEEE Access 3:343–357. doi:10.1109/ACCESS.2015.2416657

    Article  Google Scholar 

  2. Amato A, Di Martino B, Venticinque S (2012) Semantically augmented exploitation of pervasive environments by intelligent agents ISPA. IEEE, pp 807–814

  3. Amato A, Liccardo L, Rak M, Venticinque S (2012) Sla negotiation and brokering for sky computing. In: Leymann F, Ivanov I, van Sinderen M, Shan T (eds) CLOSER. SciTePress, pp 611–620

  4. Baum M, Dibbelt J, Gemsa A, Wagner D, Zündorf T (2015) Shortest feasible paths with charging stops for battery electric vehicles Proceedings of the 23rd SIGSPATIAL international conference on advances in geographic information systems, SIGSPATIAL ’15. ACM, New York, NY, USA, pp 44:1–44:10, doi:10.1145/2820783.2820826, (to appear in print)

  5. Baumann C, Holzer S, Rodriguez M, Wattenhofer R (2012) Smart energy case study 4th ACM workshop on embedded sensing systems for energy-efficiency in buildings (BuildSys), Toronto, Canada

  6. Bessel FW, Karney CFF, Deakin RE (2010) The calculation of longitude and latitude from geodesic measurements (1825). Astron Nachr 331(8):852–86

    Article  MATH  Google Scholar 

  7. Deb K, Pratap A, Agarwal S, Meyarivan T (2002) A fast and elitist multiobjective genetic algorithm: Nsga-ii. IEEE Trans Evol Comput 6(2):182–197. doi:10.1109/4235.996017

    Article  Google Scholar 

  8. Fazio M, Celesti A, Puliafito A, Villari M (2015) Big data storage in the cloud for smart environment monitoring. Procedia Computer Science 52:500–506. The 6th international conference on ambient systems, networks and technologies (ANT-2015), the 5th international conference on sustainable energy information technology (SEIT-2015)

    Article  Google Scholar 

  9. Jaradat M, Jarrah M, Bousselham A, Jararweh Y, Al-Ayyoub M (2015) The internet of energy: smart sensor networks and big data management for smart grid. Procedia Computer Science 56:592–597. doi:10.1016/j.procs.2015.07.250. The 10th international conference on future networks and communications (FNC 2015) / The 12th international conference on mobile systems and pervasive computing (MobiSPC 2015) affiliated workshops

    Article  Google Scholar 

  10. Maglaras LA, Al-Bayatti AH, He Y, Wagner I, Janicke H (2016) Social internet of vehicles for smart cities. J Sensor Actuator Networks 5(1):3

    Article  Google Scholar 

  11. Mysore D, Khupat S, Jain S (2013) Big data architecture and patterns, part 1: introduction to big data classification and architecture how to classify big data into categories. http://www.ibm.com/developerworks/library/bd-archpatterns1/

  12. Pandey MK, Subbiah K (2016) Social networking and big data analytics assisted reliable recommendation system model for internet of vehicles. Springer International Publishing, Cham, pp 149–163. doi:10.1007/978-3-319-51969-2_13

    Google Scholar 

  13. Rathore MM, Ahmad A, Paul A, Rho S (2016) Urban planning and building smart cities based on the internet of things using big data analytics. Computer Networks. doi:10.1016/j.comnet.2015.12.023

  14. Saint-Andre P, Smith K, Tronçon R (2009) XMPP: the definitive guide. “O’Reilly Media Inc.”

  15. Stillwater T, Woodjack J, Nicholas M (2013) Mobile app support for electric vehicle drivers: a review of today’s marketplace and future directions. Springer, Berlin, pp 640–646

    Google Scholar 

  16. Voutyras O, Bourelos P, Gogouvitis S, Kyriazis D, Varvarigou T (2015) Social monitoring and social analysis in internet of things virtual networks 18th international conference on intelligence in next generation networks (ICIN), 2015, pp 244–251, doi:10.1109/ICIN.2015.7073838, (to appear in print)

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Acknowledgements

This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIP) (NRF-2017R1A2B4010774).

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Authors and Affiliations

  1. Institute for High Performance Computing and Networking, National Research Council, via Pietro Castellino, Napoli, Italy

    Alba Amato

  2. Department of Computer Engineering, Chung-Ang University, 84 Heukseok, Dongjak, Seoul, 156-756, Korea

    Jason J. Jung

  3. Department of Industrial and Information Engineering, University of Campania Luigi Vanvitelli, via Roma 29, 81031, Aversa, Italy

    Salvatore Venticinque

Authors
  1. Alba Amato
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  2. Jason J. Jung
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  3. Salvatore Venticinque
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Correspondence to Salvatore Venticinque.

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Amato, A., Jung, J.J. & Venticinque, S. Extending the internet of energy by a social networking of human users and autonomous agents. Multimed Tools Appl 76, 26057–26076 (2017). https://doi.org/10.1007/s11042-017-4888-2

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