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Volume 06 Issue 10 October 2023

IoT Programming Toolkits and Frameworks: Building a Foundation for Smart Connectivity at Home
Jose Reena K
Assistant Professor, Department of Computer Science, VISTAS
DOI : https://doi.org/10.47191/ijmra/v6-i10-12

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ABSTRACT:

The Internet of Things (IoT) has ushered in a new era of smart connectivity, where devices and systems interact seamlessly to enhance our daily lives. However, the complexity of IoT development necessitates robust toolkits and frameworks to empower developers in building efficient and secure IoT applications. An overview of IoT programming toolkits and frameworks, highlighting their significance in simplifying IoT development is provided. IoT toolkits, such as Arduino and Raspberry Pi, offer a rich ecosystem of hardware and software resources. PlatformIO extends further, providing a unified development environment for various microcontroller platforms, enhancing productivity and collaboration. On the other hand, IoT programming frameworks like Node-RED, AWS IoT Core, Google Cloud IoT, and Microsoft Azure IoT focus on simplifying the creation, deployment, and management of IoT applications. These IoT programming toolkits and frameworks empower developers with the resources and abstractions necessary to navigate the intricacies of IoT development. The choice of toolkit or framework depends on specific project requirements, hardware compatibility, and the desired level of abstraction. Ultimately, the advent of these invaluable resources paves the way for innovative and impactful IoT applications, propelling us further into the era of interconnected devices and smart environments.

KEYWORDS:

Arduino, Raspberry Pi, PlatformIO, Node-RED, AWS IoT Core, Google Cloud IoT, and Microsoft Azure IoT

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2) A. Kaklauskas, R. Gudauskas “Intelligent decision-support systems and the Internet of Things for the smart built environment Start-Up Creation: The Smart Eco-Efficient Built Environment” (2016), p. 413

3) A. McGibney, S. Rea, J. Ploennigs “Open BMS - IoT driven architecture for the internet of buildings” IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society (2016), pp. 7071-7076, 10.1109/IECON.2016.7793635

4) M. Nati, A. Gluhak, H. Abangar, W. Headley “Smartcampus: A user-centric testbed for internet of things experimentation” 2013 16th International Symposium On Wireless Personal Multimedia Communications (WPMC), IEEE (2013), pp. 1-6

5) H.T. Nguyen “Integration of BIM and IoT to improve building performance for occupants' perspective”J. 3D Inf. Model., 1 (2016), pp. 55-73

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9) A. Anjomshoaa “Blending building information with smart city data” Proceedings of the Fifth International Conference on Semantics for Smarter Cities, vol. 1280, CEUR-WS.org (2014), pp. 1-2

10) U. Isikdag “BIM and IoT: a synopsis from GIS Perspective, ISPRS-International Archives of the Photogrammetry” Int. Arch. Photogramm. Remote. Sens. Spat. Inf. Sci., 1 (2015), pp. 33-38

11) B. Dave, S. Kubler, K. Främling, L. Koskela “Opportunities for enhanced lean construction management using Internet of Things standards”Autom. Constr., 61 (2016), pp. 86-97, 10.1016/j.autcon.2015.10.009

12) C. Eastman, P. Teicholz, R. Sacks, K. Liston “BIM Handbook: A Guide to Building Information Modeling for Owners, Managers”, Designers, Engineers and Contractors

13) (2nd ed.), John Wiley & Sons, Hoboken, NJ (2011)
Volume 06 Issue 10 October 2023

There is an Open Access article, distributed under the term of the Creative Commons Attribution – Non Commercial 4.0 International (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/), which permits remixing, adapting and building upon the work for non-commercial use, provided the original work is properly cited.


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