EVALUATING IOT HARDWARE PLATFORMS THROUGH FRUGAL INNOVATION
DOI:
https://doi.org/10.24325/issn.2446-5763.v10i29p60-80Palavras-chave:
IoT, Frugal Innovation, EPB, SBC, Hardware PlatformsResumo
Digital technologies are revolutionizing the various areas of knowledge, providing features such as greater amounts of data, quantitative analyses, decision-making according to data content and programming of actions in response to the analyzed data. These technologies are being widely used in Industry 4.0 to capture data in real time (online) from a large number of sensors, process the data and activate the various actuators according to the captured and processed data, particularly the Electronic Prototyping Systems (EPBs) and Single Board Computers (SBCs) as affordable and versatile solutions, offering a cost-effective and easy-to-use option for agile and diverse prototyping. This research aims to analyze the various IoT hardware platforms such as EPB and SBC through the theoretical lens of Frugal Innovation, based on performance, core functionalities, and costs, to obtain the best solution for projects. From exploratory bibliographical research, families of electronic prototyping boards were identified. When considering the aspects involved in the context of Frugal and IoT innovation, electronic prototyping platforms are more likely to drive the creation of innovative, accessible, and connected technological solutions, meeting the specific needs of each project.
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1. Park, S., Rosca, E., & Agarwal, N. (2022). Driving social impact at the bottom of the Pyramid through the internet-of-things enabled frugal innovations. Technovation, 118, 102381.
2. Tesic, Sinisa, Bojana Bajic, Ilija Cosic, and Aleksandar Rikalovic. “Frugal Innovations in Industry 4.0: The Identification of Key Indicators,” 0262–69, 2021.
3. Singh, D., Sandhu, A., Thakur, A., & Priyank, N. (2020). An overview of IoT hardware development platforms. Int. J. Emerg. Technol, 11, 155-163
4. Polianytsia, A., Starkova, O., & Herasymenko, K. (2016, October). Survey of hardware IoT platforms. In 2016 Third International Scientific-Practical Conference Problems of Info communications Science and Technology (PIC S&T) (pp. 152-153). IEEE.
5. Lasance, Clemens J. M. “Ten Years of Boundary-Condition- Independent Compact Thermal Modeling of Electronic Parts: A Review.” Heat Transfer Engineering 29, no. 2 (February 1, 2008): 149–68.
6. Olesen, Daniel, Jakob Jakobsen, and Per Knudsen. “Low-Cost GNSS Sampler Based on the Beaglebone Black SBC.” In 2016 8th ESA Workshop on Satellite Navigation Technologies and European Workshop on GNSS Signals and Signal Processing (NAVITEC), 1–7, 2016
7. Prabhu, Jaideep. “Frugal Innovation: Doing More with Less for More.” Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 375, no. 2095 (May 2017): 20160372.
8. Bhatti, Yasser Ahmad. “What Is Frugal, What Is Innovation? Towards a Theory of Frugal Innovation.” SSRN Scholarly Paper. Rochester, NY, February 1, 2012.
9. Hossain, Mokter, Henri Simula, and Minna Halme. “Can Frugal Go Global? Diffusion Patterns of Frugal Innovations.” Technology in Society 46 (August 1, 2016): 132–39.
10. Furini, Marco, Silvia Mirri, Manuela Montangero, and Catia Prandi. “Can IoT Wearable Devices Feed Frugal Innovation?” In Proceedings of the 1st Workshop on Experiences with the Design and Implementation of Frugal Smart Objects, 1–6. FRUGALTHINGS’20. New York, NY, USA: Association for Computing Machinery, 2020
11. Weyrauch, Timo, and Cornelius Herstatt. “What Is Frugal Innovation? Three Defining Criteria.” Journal of Frugal Innovation 2, no. 1 (December 27, 2016): 1.
12. Süzen, A. A., Duman, B., & Şen, B. (2020, June). Benchmark analysis of jetson tx2, jetson nano and raspberry pi using deep-cnn. In 2020 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA) (pp. 1-5). IEEE.
13. Bdeir, Ayah. “Electronics as Material: littleBits.” In Proceedings of the 3rd International Conference on Tangible and Embedded Interaction, 397–400. TEI ’09. New York, NY, USA: Association for Computing Machinery, 2009.
14. Arduino - Home. Accessed December 3, 2023. https://www.arduino.cc/.
15. MakeMagazinDE. Deutsch: Arduino Uno R3. April 5, 2018. Own work. https://commons.wikimedia.org/wiki/File:Arduino_uno_r3.jpg.
16. “ESP32 Wi-Fi & Bluetooth SoC | Espressif Systems.” Accessed December 3, 2023. https://www.espressif.com/en/products/socs/esp32.
17. Ubahnverleih. Deutsch: ESP32 Espressif ESP-WROOM-32 Dev Board. November 21, 2018. Own work. https://commons.wikimedia.org/wiki/File:ESP32_Espressif_ESP-WROOM-32_Dev_Board.jpg.
18. Ltd, Raspberry Pi. “Buy a Raspberry Pi Pico.” Raspberry Pi. Accessed December 3, 2023. https://www.raspberrypi.com/products/raspberry-pi-pico/.
19. Raspberry Pi, Misael. Raspberry Pi Pico. June 3, 2021. Own work. https://commons.wikimedia.org/wiki/File:Raspberry_Pi_Pico.jpg.
20. Foundation, Raspberry Pi. “Teach, Learn, and Make with the Raspberry Pi Foundation.” Raspberry Pi Foundation, November 30, 2023. https://www.raspberrypi.org/.
21. Raspberry_Pi_4_Computer.Jpg (1920×1059).” Accessed December 3, 2023. https://upload.wikimedia.org/wikipedia/commons/5/5a/Raspberry_Pi_4_Computer.jpg.
22. Nvidia. “NVIDIA Embedded Systems for Next-Gen Autonomous Machines.” Accessed December 3, 2023. https://www.nvidia.com/en-us/autonomous-machines/embedded-systems/.
23. Nvidia. “Nvidia_Jetson_Nano_2_Development_Kit.” Accessed December 3, 2023. https://upload.wikimedia.org/wikipedia/commons/7/76/Nvidia_Jetson_Nano_2_Development_Kit_15_14_39_352000.jpeg.
24. Tinker Board|AIoT & Soluções Industriais|ASUS Brasil.” Accessed December 3, 2023. https://www.asus.com/br/networking-iot-servers/aiot-industrial-solutions/all-series/tinker-board/.
25. Tinkerboard Board 2. UK, Gareth Halfacree from Bradford. Asus Tinkerboard Single-Board Computer, Designed to Mimic the Raspberry Pi Layout, Supplied as a Press Sample by CPC. January 20, 2017. Asus Tinkerboard. https://commons.wikimedia.org/wiki/File:Asus_Tinkerboard_(31607338923).png
26. Nakamura, Kiyoshy, Pietro Manzoni, Marco Zennaro, Juan-Carlos Cano, and Carlos T. Calafate. “Integrating an MQTT Proxy in a LoRa-Based Messaging System for Generic Sensor Data Collection.” In Ad-Hoc, Mobile, and Wireless Networks, edited by Luigi Alfredo Grieco, Gennaro Boggia, Giuseppe Piro, Yaser Jararweh, and Claudia Campolo, 282–94. Lecture Notes in Computer Science. Cham: Springer International Publishing, 2020.
27. Bardin, L. Análise de conteúdo. São Paulo: Edições 70, 2011, 229p.
28. Kondracki, N. L., Wellman, N. S., & Amundson, D. R. (2002). Content analysis: Review of methods and their applications in nutrition education. Journal of nutrition education and behavior, 34(4), 224-230.
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Copyright (c) 2024 William Aparecido Celestino Lopes , Marcelo Tsuguio Okano , Salvatore Binasco Lengua, Oduvaldo Vendrametto , João Carlos Lopes Fernandes , Marcelo Eloy Fernandes
Este trabalho está licenciado sob uma licença Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.