Advertisement

Modeling Smart Self-sustainable Cities as Large-Scale Agent Organizations in the IoT Environment

  • Igor Tomičić
  • Bogdan Okreša Đurić
  • Markus Schatten
Chapter
Part of the Computer Communications and Networks book series (CCN)

Abstract

This chapter provides an overview of modeling techniques for large-scale systems in the Internet of Things (IoT) environment with a special accent on smart self-sustainable cities. The authors present a framework for modeling Large-Scale Multi-Agent Systems (LSMASs) including a graphical modeling language, and a tool, that aim to facilitate development of such systems in a recursive fashion. Smart self-sustainable cities in this chapter are modeled using this language that forms the basis for the Smart Self-Sustainable Human Settlements (SSSHS) framework developed by the authors. The SSSHS framework consists of several sustainability mechanisms which attempt to facilitate the self-sustainability of a human settlement by managing resources such as water, electricity, and heating, based on the current needs, production, and storage using a detailed agent-based methodology. By integrating these two frameworks (LSMAS and SSSHS), the authors show a recursive and layered approach that is able to model large-scale resource management systems in a hierarchical manner by using IoT technologies.

Keywords

Smart cities Internet of things Large-scale multi-agent systems Modeling Self-sustainability Resources Organizational modeling Sustainability mechanisms Internet of everything 

Notes

Acknowledgements

This work has been supported in full by the Croatian Science Foundation under the project number 8537.

References

  1. 1.
    Ahmed Abbas H (2015) Organization of multi-agent systems: an overview. IJIIS 4:46.  https://doi.org/10.11648/j.ijiis.20150403.11CrossRefGoogle Scholar
  2. 2.
    Anvari-Moghaddam A, Guerrero JM, Rahimi-Kian A, Mirian MS (2016) Optimal real-time dispatch for integrated energy systems: an ontology-based multi-agent approach. In: 2016 IEEE 7th international symposium on power electronics for distributed generation systems (PEDG). IEEE, pp 1–7Google Scholar
  3. 3.
    Atzori L, Iera A, Morabito G (2010) The internet of things: a survey. Comput Netw 54:2787–2805.  https://doi.org/10.1016/j.comnet.2010.05.010CrossRefzbMATHGoogle Scholar
  4. 4.
    Ayala I, Amor M, Fuentes L (2012) An agent platform for self-configuring agents in the internet of things. In: Infrastructures and tools for multiagentGoogle Scholar
  5. 5.
    Bowerman B, Braverman J, Taylor J et al. (2000) The vision of a smart city. In: 2nd international lifeGoogle Scholar
  6. 6.
    Corkill DD, Lander SE (1998) Diversity in agent organizations. Object Mag 8:41–47Google Scholar
  7. 7.
    Coutinho LR, Sichman JS, Boissier O (2009) Modeling dimensions for agent organizations. In: Dignum V (ed) Handbook of research on multi-agent systems: semantics and dynamics of organizational models. IGI Global, pp 18–50Google Scholar
  8. 8.
    De Wolf T (2004) Emergence and self-organization: a statement of similarities and differences. In: Proceedings of the 2nd international workshop on engineering self-organizing applications, pp 96–110Google Scholar
  9. 9.
    Dignum V (2009) Handbook of research on multi-agent systems: semantics and dynamics of organizational models.  https://doi.org/10.4018/978-1-60566-256-5
  10. 10.
    Fontana M, Terna P (2015) From agent-based models to network analysis (and return): the policy-making perspective. Working Paper Series 07Google Scholar
  11. 11.
    Hurtado LA, Nguyen PH, Kling WL (2015) Smart grid and smart building inter-operation using agent-based particle swarm optimization. Sustain Energy Grids Netw 2:32–40.  https://doi.org/10.1016/j.segan.2015.03.003CrossRefGoogle Scholar
  12. 12.
    Karnouskos S, Holanda TN de (2009) Simulation of a smart grid city with software agents. In: 2009 third UKSim European symposium on computer modeling and simulation. IEEE, pp 424–429Google Scholar
  13. 13.
    Mihaylov M, Razo-Zapata I, Rădulescu R, Jurado S, Avellana N, Nowé A (2016) Smart grid demonstration platform for renewable energy exchange. In: Demazeau Y, Ito T, Bajo J, Escalona MJ (eds) Advances in practical applications of scalable multi-agent systems. The PAAMS collection. Springer International Publishing, Cham, pp 277–280CrossRefGoogle Scholar
  14. 14.
    Okreša Ðurić B (2017) A novel approach to modeling distributed systems: using large-scale multi-agent systems. In: Mahmood Z (ed) Software project management for distributed computing. Springer International Publishing, Cham, pp 229–254CrossRefGoogle Scholar
  15. 15.
    Okreša Đurić B (2016) Organizational metamodel for large-scale multi-agent systems. In: de la Prieta F, Escalona MJ, Corchuelo R, Mathieu P, Vale Z, Campbell AT, Rossi S, Adam E, Jiménez-López MD, Navarro EM, Moreno MN (eds) Trends in practical applications of scalable multi-agent systems, the PAAMS collection. Springer International Publishing, Cham, pp 387–390Google Scholar
  16. 16.
    Roscia M, Longo M, Lazaroiu GC (2013) Smart City by multi-agent systems. In: 2013 international conference on renewable energy research and applications (ICRERA). IEEE, pp 371–376Google Scholar
  17. 17.
    Schatten M (2012) Active graph rewriting rules for modeling multi-agent organizational dynamics. In: 1st international internet & business conferenceGoogle Scholar
  18. 18.
    Schatten M (2014) Organizational architectures for large-scale multi-agent systems’ development: an initial ontology. In: Omatu S, Bersini H, Corchado JM, Rodríguez S, Pawlewski P, Bucciarelli E (eds) Distributed computing and artificial intelligence. 11th international conference. Springer International Publishing, Cham, pp 261–268CrossRefGoogle Scholar
  19. 19.
    Schatten M (2014) Smart residential buildings as learning agent organizations in the internet of things. Bus Syst Res J.  https://doi.org/10.2478/bsrj-2014-0003CrossRefGoogle Scholar
  20. 20.
    Schatten M, Grd P, Konecki M, Kudelić R (2014) Towards a formal conceptualization of organizational design techniques for large scale multi agent systems. Proc Technol 15:576–585.  https://doi.org/10.1016/j.protcy.2014.09.018CrossRefGoogle Scholar
  21. 21.
    Schatten M, Ševa J, Tomičić I (2016) A roadmap for scalable agent organizations in the internet of everything. J Syst Softw 115:31–41.  https://doi.org/10.1016/j.jss.2016.01.022CrossRefGoogle Scholar
  22. 22.
    Stavropoulos TG, Rigas ES, Kontopoulos E, Bassiliades N, Vlahavas I (2014) A multi-agent coordination framework for smart building energy management. In: 2014 25th international workshop on database and expert systems applications. IEEE, pp 126–130Google Scholar
  23. 23.
    Tomičić I (2016) Agent-based framework for modeling and simulation of resource management in smart self-sustainable human settlements. Doctoral dissertationGoogle Scholar
  24. 24.
    Tomicic I, Schatten M (2016) A case study on renewable energy management in an eco-village community in Croatia–an agent based approach. Int J Renew Energy Res (IJRER) 6:1307–1317Google Scholar
  25. 25.
    Tomičic I, Schatten M (2015) Towards an agent based framework for modeling smart self-sustainable systems. Interdisc Description Complex Syst 13:57–70CrossRefGoogle Scholar
  26. 26.
    Tomičić I, Schatten M (2016) Agent-based framework for modeling and simulation of resources in self-sustainable human settlements: a case study on water management in an eco-village community in Croatia. Int J Sustain Dev World Ecol 23:504–513.  https://doi.org/10.1080/13504509.2016.1153527CrossRefGoogle Scholar
  27. 27.
    Vlacheas P, Giaffreda R, Stavroulaki V, Kelaidonis D, Foteinos V, Poulios G, Demestichas P, Somov A, Biswas A, Moessner K (2013) Enabling smart cities through a cognitive management framework for the internet of things. IEEE Commun Mag 51:102–111.  https://doi.org/10.1109/MCOM.2013.6525602CrossRefGoogle Scholar
  28. 28.
    Weyns D, Haesevoets R, Helleboogh A (2010) The MACODO organization model for context-driven dynamic agent organizations. ACM Trans Auton Adapt Syst 5:1–29.  https://doi.org/10.1145/1867713.1867717CrossRefGoogle Scholar
  29. 29.
    Yang K, Cho S-B (2016) Towards sustainable smart homes by a hierarchical hybrid architecture of an intelligent agent. Sustainability 8:1020.  https://doi.org/10.3390/su8101020CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Igor Tomičić
    • 1
  • Bogdan Okreša Đurić
    • 1
  • Markus Schatten
    • 1
  1. 1.Artificial Intelligence Laboratory, Faculty of Organization and InformaticsUniversity of ZagrebVarazdinCroatia

Personalised recommendations