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Cloud, Fog, and Edge Computing for IoT-Enabled Cognitive Buildings

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IoT Edge Solutions for Cognitive Buildings

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Abstract

Cognitive buildings are structures that aim to produce meaningful results for occupants with the help of technology. To understand the cognitive buildings and harness their potential, it is important to know network technologies such as Internet of Things, cloud computing, fog computing, and edge computing. In this chapter, these key concepts are discussed within the scope of cognitive buildings. The design of cognitive buildings with various services and components requires a systematic approach. A modular design framework for smart buildings is proposed in the study. In accordance with the proposed framework, sample scenarios using key concepts are presented.

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References

  1. Abdelouahid, R.A., Debauche, O. Marzak, A.: Internet of things: a new interoperable IoT platform. Application to a smart building. Proc. Comput. Sci. Elsevier B.V., 191(2019), 511–517 (2021). https://doi.org/10.1016/j.procs.2021.07.066

  2. Aghav-Palwe, S., Gunjal, A.: Chapter 1 - Introduction to cognitive computing and its various applications. In: Mittal, M., Shah, R.R., Roy, S.B.T.-C.C. for H.-R.I. (eds.) Cognitive Data Science in Sustainable Computing. Academic Press, pp. 1–18 (2021). https://doi.org/10.1016/B978-0-323-85769-7.00009-4

  3. Armbrust, M., et al.: A view of cloud computing. Commun. ACM. New York, NY, USA: Association for Computing Machinery. 53(4), 50–58 (2010). https://doi.org/10.1145/1721654.1721672

    Article  Google Scholar 

  4. Carrillo, E., et al.: IoT framework for smart buildings with cloud computing. In: 2015 IEEE 1st International Smart Cities Conference, ISC2 2015, (October 2015). https://doi.org/10.1109/ISC2.2015.7366197

  5. Chang, C., Srirama, S.N., Buyya, R.: Internet of things (IOT) and new computing paradigms. Fog Edge Comput. 6, 2–23 (2019). https://doi.org/10.1002/9781119525080.ch1

    Article  Google Scholar 

  6. Daissaoui, A., et al.: IoT and big data analytics for smart buildings: a survey. Proc. Comput. Sci. Elsevier B.V. 170, 161–168 (2020). https://doi.org/10.1016/j.procs.2020.03.021

    Article  Google Scholar 

  7. Datta, S.K., Bonnet, C.: An edge computing architecture integrating virtual IoT devices. In: 2017 IEEE 6th Global Conference on Consumer Electronics, GCCE 2017, 2017-Janua(Gcce), pp. 1–3 (2017). https://doi.org/10.1109/GCCE.2017.8229253

  8. De Paola, A., et al.: A fog-based hybrid intelligent system for energy saving in smart buildings. J. Ambient. Intell. Humaniz. Comput. Springer Berlin Heidelberg. 11(7), 2793–2807 (2020). https://doi.org/10.1007/s12652-019-01375-2

    Article  Google Scholar 

  9. Esmaeel, A., Rahimnejad, A., Gadsden, S.A.: Home energy management system for smart buildings with inverter-based air conditioning system. Int. J. Electr. Power Energy Syst. Elsevier Ltd. 133(August 2020), 107230 (2021). https://doi.org/10.1016/j.ijepes.2021.107230

    Article  Google Scholar 

  10. Ferrández-Pastor, F.J., et al.: Deployment of IoT edge and fog computing technologies to develop smart building services. Sustainability (Switzerland). 10(11) (2018). https://doi.org/10.3390/su10113832

  11. Iorga, M., et al.: Fog computing conceptual model, Recommendations of the National Institute of Standards and Technology Michaela. NIST Special Publication 500-325, 1(2), 169–178 (2018). https://doi.org/10.2174/2210677411101020169

  12. Javadzadeh, G., Rahmani, A.M.: Fog computing applications in smart cities: a systematic survey. Wirel. Netw. Springer US. 26(2), 1433–1457 (2020). https://doi.org/10.1007/s11276-019-02208-y

    Article  Google Scholar 

  13. Jia, M., et al.: Adopting Internet of Things for the development of smart buildings: a review of enabling technologies and applications. Autom. Constr. 101, 111–126 (2019). https://doi.org/10.1016/j.autcon.2019.01.023

    Article  Google Scholar 

  14. King, J., Perry, C.: Smart Buildings: Using Smart Technology to Save Energy in Existing Buildings. American Council for an Energy-Efficient Economy (2017). Available at https://www.aceee.org/sites/default/files/publications/researchreports/a1701.pdf

  15. Kumar, A., et al.: Secure and energy-efficient smart building architecture with emerging technology IoT. Comput. Commun. Elsevier B.V. 176(January), 207–217 (2021). https://doi.org/10.1016/j.comcom.2021.06.003

    Article  Google Scholar 

  16. Li, X., et al.: Building the Internet of Things platform for smart maternal healthcare services with wearable devices and cloud computing. Futur. Gener. Comput. Syst. 118, 282–296 (2021). https://doi.org/10.1016/j.future.2021.01.016

    Article  Google Scholar 

  17. Lujak, M., et al.: A distributed architecture for real-time evacuation guidance in large smart buildings. Comput. Sci. Inf. Syst. 14(1), 257–282 (2017). https://doi.org/10.2298/CSIS161014002L

    Article  MathSciNet  Google Scholar 

  18. Massaoudi, M., Member, S., Abu-rub, H.: Deep learning in smart grid technology: a review of recent advancements and future prospects. IEEE Access. 9, 54558–54578 (2021). https://doi.org/10.1109/ACCESS.2021.3071269

    Article  Google Scholar 

  19. Mell, P., Grance, T.: (2018) SP 800-145, The NIST Definition of Cloud Computing | CSRC (online) Csrc.nist.gov (2018). https://csrc.nist.gov/publications/detail/sp/800-145/final

  20. Ning, H., et al.: Heterogeneous edge computing open platforms and tools for internet of things. Future Gener. Comput. Syst. Elsevier B.V. 106, 67–76 (2020). https://doi.org/10.1016/j.future.2019.12.036

    Article  Google Scholar 

  21. Pašek, J., Sojková, V.: Facility management of smart buildings. Int. Rev. Appl. Sci. Eng. 9(2), 181–187 (2019). https://doi.org/10.1556/1848.2018.9.2.15

    Article  Google Scholar 

  22. Plageras, A.P., et al.: Efficient IoT-based sensor BIG Data collection-processing and analysis in smart buildings. Future Gener. Comput. Syst. 82, 349–357 (2018)

    Article  Google Scholar 

  23. Qolomany, B., et al.: Leveraging machine learning and big data for smart buildings: a comprehensive survey. IEEE Access. 7, 90316–90356 (2019). https://doi.org/10.1109/ACCESS.2019.2926642

    Article  Google Scholar 

  24. Schomakers, E., Biermann, H., Ziefle, M.: Preferences for smart home automation – investigating aspects of privacy and trust. Telemat. Inform. Elsevier Ltd. 64(March), 101689 (2021). https://doi.org/10.1016/j.tele.2021.101689

    Article  Google Scholar 

  25. Toosi, A.N., et al.: Management and orchestration of network slices in 5G, fog, edge, and clouds. Fog Edge Comput. 8, 79–101 (2019). https://doi.org/10.1002/9781119525080.ch4

    Article  Google Scholar 

  26. Tordera, E.M., et al.: What is a fog node: a tutorial on current concepts towards a common definition’, (2016, December). Available at http://arxiv.org/abs/1611.09193

  27. Van Cutsem, O., et al.: Cooperative energy management of a community of smart-buildings: a Blockchain approach. Electr. Power Energy Syst. Elsevier. 117(November 2019), 105643 (2020). https://doi.org/10.1016/j.ijepes.2019.105643

    Article  Google Scholar 

  28. Yar, H., et al.: Towards smart home automation using IoT-enabled edge-computing paradigm. Sensors. (2021). https://doi.org/10.3390/s21144932

  29. Younus, M.U., et al.: A survey on software defined networking enabled smart buildings: architecture, challenges and use cases. J. Netw. Comput. Appl. Elsevier Ltd. 137(March), 62–77 (2019). https://doi.org/10.1016/j.jnca.2019.04.002

    Article  Google Scholar 

  30. Zhang, T.: Investigating the Effectiveness of BIM-BMS Integration on Managing Existing Building Facilities: A New Zealand Educational Building Case (2019)

    Google Scholar 

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Correspondence to Erdal Özdoğan .

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Özdoğan, E. (2023). Cloud, Fog, and Edge Computing for IoT-Enabled Cognitive Buildings. In: Cicirelli, F., Guerrieri, A., Vinci, A., Spezzano, G. (eds) IoT Edge Solutions for Cognitive Buildings. Internet of Things. Springer, Cham. https://doi.org/10.1007/978-3-031-15160-6_2

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  • DOI: https://doi.org/10.1007/978-3-031-15160-6_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-15159-0

  • Online ISBN: 978-3-031-15160-6

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