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X-IoT: Architecture and Use Cases for an IoT Platform in the Area of Smart Cities

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IoT and IoE Driven Smart Cities

Abstract

Remodeling the elements of city life and advancing qualities of cities for learning, innovation, doing business, and creating jobs are crucial qualities for location competitiveness, growth, and investments. This is the dawn of a new era for smart cities, which use information and communication technologies (ICT) to improve citizens’ quality of life, enhance interactions among businesses and citizens, improve government services, increase citizens’ participation, and optimize transportation networks and resource utilization. Key ICT facilitators for smart cities include Internet of Things (IoT) technologies for collecting data as well as artificial intelligence (AI) for deriving insights from data and supporting better decision-making. This chapter deals with smart city problems and solutions as well as technical implementation challenges, and further elaborates on the reference architecture of an integrated IoT platform that can support smart city developments.

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References

  1. Rifkin J (2011) The third industrial revolution: How lateral power is transforming energy, the economy, and the world. St. Martin’s Press, New York, NY

    Google Scholar 

  2. Horizon2020 (2020) European Commission. https://ec.europa.eu/programmes/horizon2020/en

  3. Smart Cities (2020) European Commission. https://ec.europa.eu/info/eu-regional-and-urban-development/topics/cities-and-urban-development/city-initiatives/smart-cities_en

  4. The UNECE–ITU Smart Sustainable Cities Indicators (2015) United Nations Economic and Social Council, Geneva, Switzerland

    Google Scholar 

  5. Kirimtat A, Krejcar O, Kertesz A, Tasgetiren MF (2020) Future trends and current state of smart city concepts: a survey. IEEE Access 8:86448–86467

    Article  Google Scholar 

  6. Lai CS, Jia Y, Dong Z, Wang D, Tao Y, Lai QH, Wong RTK, Zobaa AF, Wu R, Lai LL (2020) A review of technical standards for smart cities. Clean Technol 2:290–310

    Article  Google Scholar 

  7. Street smart: Putting the citizen at the center of smart city initiatives (2020) Capgemini Research Institute

    Google Scholar 

  8. Iqbal A, Olariu S (2021) A survey of enabling technologies for smart communities. Smart Cities 4:54–77

    Article  Google Scholar 

  9. Ahad MA, Paiva S, Tripathi G, Feroz N (2020) Enabling technologies and sustainable smart cities. Sustain Cities Soc 61:102301

    Article  Google Scholar 

  10. Hanania P-A, Carsaniga G (2020) Sweet home, smart city. Capgemini

    Google Scholar 

  11. Internet of Things – XIoT Platform (2020) Capgemini

    Google Scholar 

  12. Noori N, de Jong M, Janssen M, Schraven D, Hoppe T (2021) Input-output modeling for smart city development. J Urban Technol 28:1–22

    Article  Google Scholar 

  13. Raghavan S, Simon BYL, Lee YL, Tan WL, Kee KK (2020) Data integration for smart cities: opportunities and challenges. Computational Science and Technology, pp. 393–403

    Google Scholar 

  14. Daissaoui A, Boulmakoul A, Karim L, Lbath A (2020) IoT and big data analytics for smart buildings: a survey. Procedia Comput Sci 170:161–168

    Article  Google Scholar 

  15. Allam Z, Dhunny ZA (2019) On big data, artificial intelligence and smart cities. Cities 89:80–91

    Article  Google Scholar 

  16. Neves FT, de Castro Neto M, Aparicio M (2020) The impacts of open data initiatives on smart cities: a framework for evaluation and monitoring. Cities 106:102860

    Article  Google Scholar 

  17. Sarker MNI, Khatun MN, Alam GM, Islam MS (2020) Big data driven smart city: Way to smart city governance. In Proceedings of the 2020 International Conference on Computing and Information Technology (ICCIT), pp. 1–8

    Google Scholar 

  18. Ben Rjab A, Mellouli S (2019) Artificial intelligence in smart cities: systematic literature network analysis. In Proceedings of the 12th International Conference on Theory and Practice of Electronic Governance, pp. 259–269

    Google Scholar 

  19. Souza JTD, Francisco ACD, Piekarski CM, Prado GFD (2019) Data mining and machine learning to promote smart cities: a systematic review from 2000 to 2018. Sustainability 11:1077

    Article  Google Scholar 

  20. Bhattacharya S, Somayaji SRK, Gadekallu TR, Alazab M, Maddikunta PKR (2020) A review on deep learning for future smart cities. Internet Technol Lett 187

    Google Scholar 

  21. Hajjaji Y, Boulila W, Farah IR, Romdhani I, Hussain A (2021) Big data and IoT-based applications in smart environments: a systematic review. Comput Sci Rev 39:100318

    Article  Google Scholar 

  22. Westraadt L, Calitz A (2020) A modelling framework for integrated smart city planning and management. Sustain Cities Soc 63:102444

    Article  Google Scholar 

  23. Mohammadi M, Al-Fuqaha A (2018) Enabling cognitive smart cities using big data and machine learning: approaches and challenges. IEEE Commun Mag 56:94–101

    Article  Google Scholar 

  24. Ismagilova E, Hughes L, Rana NP, Dwivedi YK (2020) Security, privacy and risks within smart cities: Literature review and development of a smart city interaction framework. Inf Syst Front:1–22

    Google Scholar 

  25. Lom M, Pribyl O (2021) Smart city model based on systems theory. Int J Inf Manag 56:102092

    Article  Google Scholar 

  26. Cisco Global Cloud Index (2016) Forecast and methodology, 2015–2020. Cisco

    Google Scholar 

  27. AI & data engineering: True intelligence depends on data at scale (2019) Capgemini

    Google Scholar 

  28. Dutta S (2019) How to design a modern data and AI platform. Capgemini

    Google Scholar 

  29. Dijon, première smart city de France? (2018) Le Monde, March 14

    Google Scholar 

  30. How Dijon is becoming France’s leading smart city (2021) Consultancy.eu

    Google Scholar 

  31. Dijon metropole launches a unique smart city project in France (2019) Capgemini

    Google Scholar 

  32. About the traffic agent (2021). www.trafikkagenten.no

  33. Smart cities 2.0: Ep 4: Singapore (2017) ChannelNewsAsia, March 25

    Google Scholar 

  34. Tengah (2021) Singapore Housing and Development Board. https://www.hdb.gov.sg/

  35. Chennai all set to get smart parking system (2019) The Hindu, October 16

    Google Scholar 

  36. 10 examples of how open data helps create sustainable smart cities (2021). https://www.smartcitieslibrary.com/

  37. 40 Brilliant Open Data Projects Preparing Smart Cities for 2018 (2017). Carto.com

  38. 10 Examples of How Open Data Helps Create Smart Cities (2017). Geographica.com

  39. Mak HWL, Lam YF (2021) Comparative assessments and insights of data openness of 50 smart cities in air quality aspects. Sustain Cities Soc 69:102868

    Article  Google Scholar 

  40. Gupta A, Panagiotopoulos P, Bowen F (2020) An orchestration approach to smart city data ecosystems. Technol Forecast Soc Chang 153:119929

    Article  Google Scholar 

  41. Paskaleva K, Evans J, Martin C, Linjordet T, Yang D, Karvonen A (2017) Data governance in the sustainable smart city. Informatics 4:41

    Article  Google Scholar 

  42. Hefnawy A, Elhariri T, Bouras A, Cherifi C, Robert J, Kubler S, Frmling K (2016) Lifecycle management in the smart city context: Smart parking use-case. In IFIP International Conference on Product Lifecycle Management, pp. 631–641

    Google Scholar 

  43. Cyber resilience and the UK’s evolving Smart City ecosystem (2020) Roke Manor Research Ltd.

    Google Scholar 

  44. Cirillo F, Gómez D, Diez L, Maestro IE, Gilbert TBJ, Akhavan R (2020) Smart city IoT services creation through large-scale collaboration. IEEE Internet Things J 7:5267–5275

    Article  Google Scholar 

  45. The AI-powered enterprise: Unlocking the potential of AI at scale (2020) Capgemini Research Institute

    Google Scholar 

  46. Intelligent asset monitoring (2017) Capgemini

    Google Scholar 

  47. Alahakoon D, Nawaratne R, Xu Y, De Silva D, Sivarajah U, Gupta B (2020) Self-building artificial intelligence and machine learning to empower big data analytics in smart cities. Inf Syst Front:1–20

    Google Scholar 

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Correspondence to Eldar Sultanow .

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Sultanow, E. et al. (2022). X-IoT: Architecture and Use Cases for an IoT Platform in the Area of Smart Cities. In: Nath Sur, S., Balas, V.E., Bhoi, A.K., Nayyar, A. (eds) IoT and IoE Driven Smart Cities. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-82715-1_14

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  • DOI: https://doi.org/10.1007/978-3-030-82715-1_14

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  • Print ISBN: 978-3-030-82714-4

  • Online ISBN: 978-3-030-82715-1

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