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Architecting IOT for Smart Cities

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Smart Cities in Application

Abstract

This chapter focuses on architectural and functional capabilities that are required for a smart city initiative. An overview of the recommended architecture and implementation technology choices, typical constraints in implementations, terminology, and technology principles are highlighted. These are applicable at various intersections, whether they develop custom solutions or standardized solutions using open, federated platforms and/or commercial platforms.

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References

  1. IDC’s worldwide digital transformation use case taxonomy, 2018: smart cities and communities (#US44261515, September 2018)

    Google Scholar 

  2. Docker. https://www.docker.com/

  3. Kubernetes. https://kubernetes.io/

  4. Wi-Fi Alliance. https://www.wi-fi.org/

  5. Bluetooth Special Interest Group. https://www.bluetooth.com/

  6. Zigbee Alliance. https://www.zigbee.org/

  7. Sigfox. https://www.sigfox.com/

  8. LoRa Alliance. https://lora-alliance.org/

  9. Raspberry Pi Foundation. https://www.raspberrypi.org/

  10. Arduino AG. https://www.arduino.cc/

  11. Amazon Web Services – IOT. https://aws.amazon.com/iot/

  12. Microsoft Azure IOT. https://azure.microsoft.com/en-us/overview/iot/

  13. Google Cloud IOT. https://cloud.google.com/iot-core/

  14. ThingWorx Industrial IOT. https://www.ptc.com/en/products/iot/thingworx-platform

  15. GE Predix Platform. https://www.ge.com/digital/iiot-platform

  16. Comcast MachineQ. https://machineq.com

  17. Salesforce IOT. https://www.salesforce.com/products/salesforce-iot/overview/

  18. C3 Enterprise AI. https://c3.ai/

  19. SAP Leonardo. https://www.sap.com/products/leonardo.html

  20. Kaa Enterprise IOT Platform. https://www.kaaproject.org/

  21. ThingsBoard Open Source IOT Platform. https://thingsboard.io/

  22. DeviceHive Open Source IOT Data Platform. https://devicehive.com/

  23. Applied Informatics. macchina.io. https://macchina.io/

  24. Open Home Automation Bus. https://www.openhab.org/

  25. Cognizant (2019) Solution overview: accelerating IoT programs at scale: connected reference architecture & toolkit. https://www.cognizant.com/Resources/connected-reference-architecture-and-toolkit-overview-hires.pdf

  26. Cognizant (2019) The five essential IoT requirements and how to achieve them. https://www.cognizant.com/whitepapers/the-five-essential-iot-requirements-and-how-to-achieve-them-codex4241.pdf

  27. Microsoft HDInsight. https://azure.microsoft.com/en-us/services/hdinsight/

  28. Caffe. Berkeley AI research. http://caffe.berkeleyvision.org/

  29. Hewlett Packard Enterprise. Haven on demand. https://www.havenondemand.com/

  30. Google AI. https://ai.google/

  31. Google TensorFlow. https://www.tensorflow.org/

  32. Torch: a scientific computing framework for LUAJIT. http://torch.ch/

  33. Apache Spark: unified analytics engine. https://spark.apache.org/

  34. Univ. Montreal MILA Lab: Theano. http://deeplearning.net/software/theano/

  35. The National Ecological Observatory Network. https://www.neonscience.org/

  36. Cognizant BigDecisions Platform. https://www.cognizant.com/bigdecisions

  37. National Institute of Standards and Technology (NIST). https://www.nist.gov/

  38. Hardt D (ed) (2017 Oct) RFC 8252, “OAuth 2.0 for Native Apps.” https://tools.ietf.org/html/rfc8252

  39. National Institute of Standards and Technology (NIST), Engineering Laboratory. Cyber-physical systems, IES cities architecture. https://www.nist.gov/el/cyber-physical-systems/ies-cities-architecture

  40. National Institute of Standards and Technology (NIST). International technical working group on IoT-enabled smart city framework. https://pages.nist.gov/smartcitiesarchitecture/

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Author information

Authors and Affiliations

  1. IOT Product Solutions, Cognizant, Austin, TX, USA

    Achamkulamgara Arun

Authors
  1. Achamkulamgara Arun
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Correspondence to Achamkulamgara Arun .

Editor information

Editors and Affiliations

  1. Ingram School of Engineering, Texas State University, San Marcos, TX, USA

    Stan McClellan

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Cite this chapter

Arun, A. (2020). Architecting IOT for Smart Cities. In: McClellan, S. (eds) Smart Cities in Application. Springer, Cham. https://doi.org/10.1007/978-3-030-19396-6_8

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  • DOI: https://doi.org/10.1007/978-3-030-19396-6_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-19395-9

  • Online ISBN: 978-3-030-19396-6

  • eBook Packages: EngineeringEngineering (R0)

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