ÉTUDE COMPARATIVE DES MEILLEURS CONSEILS DE DÉVELOPPEMENT DANS LE CONTEXTE DE L'IoT
Mots-clés :
Arduino Uno, Raspberry Pi, Puce Wi-Fi ESP8266, nternet des objets (IdO), Analyse multicritèreRésumé
L'Internet des objets (IoT) est une technologie en plein essor. Cependant, cela a été possible grâce à un projet de matériel open source - Arduino Uno, qui a rendu l'IoT accessible aux personnes. Combinés, l'IoT a fourni les moyens et les méthodologies, tandis que l'Arduino offrait un système facile à utiliser et à programmer, ce qui a conduit à une tendance ascendante pour les deux. Après plus de dix ans de collaboration fructueuse entre les systèmes IoT et Arduino, plusieurs nouveaux concurrents ont lancé des cartes de développement créées spécialement pour l'IoT. Les plus populaires sont Raspberry Pi Pico, ESP8266, STM32, etc. Cet article a appliqué une analyse multicritère (MCA) pour classer les performances des cartes de développement mentionnées ci-dessus dans le contexte IoT. L'objectif principal est d'établir si Arduino Uno, qui dominait le marché, continuera à dominer ou sera remplacé par l'un de ses concurrents.
Références
(1) H.K. Kondaveeti, N. K. Kumaravelu, S. D. Vanambathina, S. E. Mathe, S. Vappangi, A systematic literature review on prototyping with Arduino: applications, challenges, advantages, and limitations, Comput. Sci. Rev., 40, pp. 100364 (2021).
(2) M. Nagakannan, C. J. Inbaraj, K. Mukesh Kannan, S. Ramkumar, A recent review on IoT based techniques and applications, in 2018 Second International Conference on I-SMAC (IoT in Social, Mobile, Analytics, and Cloud), pp. 70–75 (2018).
(3) K. Agarwal, A. Agarwal, G. Misra, Review and Performance Analysis on Wireless Smart Home and Home Automation using IoT, in 2019 Third International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud), pp. 629–633 (2019).
(4) C. Santhosh, S. V Aswin Kumer, J. Gopi Krishna, M. Vaishnavi, P. Sairam, P. Kasulu, IoT based smart energy meter using GSM, Mater. Today Proc., 46, pp. 4122–4124, 2021.
(5) G. Chiesa, D. Di Vita, A. Ghadirzadeh, A. H. Muñoz Herrera, J.C. Leon Rodriguez, A fuzzy-logic IoT lighting and shading control system for smart buildings, Autom. Constr., 120, p. 390-397 (2020).
(6) S.M.S.D. Malleswari, T. K. Mohana, Air pollution monitoring system using IoT devices: review, Mater. Today Proc., 51, pp. 1147–1150 (2022).
(7) K. B. Kumar Sai, S. Mukherjee, H. Parveen Sultana, Low cost IoT based air quality monitoring setup using Arduino and MQ series sensors with dataset analysis, Procedia Compute. Sci., 165, pp. 322–327 (2019).
(8) I. Technology, Integrated sensors networks into an acquisition, Rev. Roum. des Sci. Tech. Ser. Electrotech. Energ., 62, 4, pp. 305–310 (2017).
(9) P.S. Banerjee, A. Karmakar, M. Dhara, K. Ganguly, S. Sarkar, A novel method for predicting bradycardia and atrial fibrillation using fuzzy logic and Arduino supported IoT sensors, Med. Nov. Technol. Devices, 10, p. 51-58 (2021).
(10) K. Nanda Kumar, A. Vijayan Pillai, M.K. Badri Narayanan, Smart agriculture using IoT, Mater. Today Proc. (2021).
(11) F. Akhter, H.R. Siddiquei, M.E.E. Alahi, S.C. Mukhopadhyay, Design and development of an IoT-enabled portable phosphate detection system in water for smart agriculture, Sensors Actuators A Phys., 330, p. 112-115 (2021).
(12) P. Castillo-Segura, C. Fernández-Panadero, C. Alario-Hoyos, P.J. Muñoz-Merino, C. Delgado Kloos, A cost-effective IoT learning environment for the training and assessment of surgical technical skills with visual learning analytics, J. Biomed. Inform., 124, pp. 948-952 (2021).
(13) L. Breniuc, C.G. Haba, V. David, Embedded platform for developing medical applications, Rev. Roum. des Sci. Tech. Ser. Electrotech. Energ., 65, 1–2, pp. 123–129 (2020).
(14) R.S. Nakandhrakumar, P. Rameshkumar, V. Parthasarathy, B. Thirupathy Rao, Internet of Things (IoT) based system development for robotic waste segregation management, Mater. Today Proc. (2021).
(15) A.V. Jha, A.N. Ghazali, B. Appasani, C. Ravariu, A. Srinivasulu, Reliability analysis of smart grid networks incorporating hardware failures and packet loss, Rev. Roum. des Sci. Tech. Ser. Electrotech. Energ., 65, 3–4, pp. 245–252 (2020).
(16) K. Routh, T. Pal, A survey on technological, business, and societal aspects of Internet of Things by Q3, 2017, in 2018 3rd International Conference on Internet of Things: Smart Innovation and Usages (IoT-SIU), pp. 1–4 (2018).
(17) M. Şahin, A comprehensive analysis of weighting and multicriteria methods in the context of sustainable energy, International Journal of Environmental Science and Technology, 18, pp. 1591–1616 (2021).
(18) G.O. Odu, Weighting methods for multi-criteria decision making technique, J. Appl. Sci. Environ. Manage., 23, 8, pp. 1449-1457 (2019).
(19) ***Arduino UNO R3 - Product Reference Manual, 2021. https://docs.arduino.cc/resources/datasheets/A000066-datasheet.pdf (accessed Nov. 23, 2021).
(20) ***Arduino Nano 33 IoT schematic, https://docs.arduino.cc/static/96a6faaa0abc89fb5d108813fbc37866/ABX00027-datasheet.pdf (accessed Nov. 23, 2021).
(21) ***Raspberry Pi Pico datasheet, https://datasheets.raspberrypi.com/pico/pico-datasheet.pdf — accessed Nov. 23, 2021.
(22) ***"ESP8266Ex datasheet." https://www.espressif.com/sites/default/files/documentation/0a-esp8266ex_datasheet_en.pdf (accessed Nov. 23, 2021).
(23) T. Hanna, New tricks for the Pico voltmeter, https://www.pressreader.com/australia/linux-format/20210406/281668257756849 — accessed Jan. 18, 2022.
(24) ***https://www.hackster.io/news/raspberry-pi-confirms-it-is-investigating-a-flaw-in-the-raspberry-pi-pico-rp2040-adc-95c393b55dfb — accessed July 29, 2022.
