Enhancing Internet of Things conceptual, practical and programming learning skills
Resumo
The Internet of Things (IoT) is a computational paradigm that facilitates the interconnection of intelligent objects to the Internet, enabling interaction, operational efficiency, and communication. Moreover, it allows the collection of various environmental data, which can be processed to develop applications for diverse uses, such as e-health and smart agriculture. Therefore, due to the significant technological advancements and their continuous development and improvement, it is crucial to utilize alternative platforms for teaching and learning these technologies. These platforms should aim to enhance understanding and facilitate application development within these ecosystems. Utilizing tools for simulating or emulating IoT environments can facilitate practice, provide hands-on experience, reduce costs, and enhance agility in creating teaching proposals. This paper analyzes tools and platforms that aid in learning and developing IoT concepts and networks. Specifically, it discusses Internet of Things concepts and tools for simulating or emulating widely used environments.Referências
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Koshariya, A. K., Kalaiyarasi, D., Jovith, A. A., Sivakami, T., Hasan, D. S., and Boopathi, S. (2023). Ai-enabled iot and wsn-integrated smart agriculture system. In Artificial Intelligence Tools and Technologies for Smart Farming and Agriculture Practices, pages 200–218. IGI Global.
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Lin, J., Yu, W., Zhang, N., Yang, X., Zhang, H., and Zhao, W. (2017). A survey on internet of things: Architecture, enabling technologies, security and privacy, and applications. IEEE Internet of Things Journal, 4(5):1125–1142.
Moz, S. H., Hosen, M. A., and Tanny, N. F. I. (2023). Campus network configuration, monitoring and data flow simulation using cisco packet tracer. In 2023 International Conference on Inventive Computation Technologies (ICICT), pages 793–798. IEEE.
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Stanley, T., Chetty, V., Styles, M., Jung, S.-Y., Duarte, F., Lee, T.-W. J., Gunter, M., and Fife, L. (2012). Teaching computer architecture through simulation: (a brief evaluation of cpu simulators). J. Comput. Sci. Coll., 27(4):37–44.
van Kranenburg, R. and Dodson, S. (2008). The Internet of Things: A Critique of Ambient Technology and the All-seeing Network of RFID. Network notebooks. Institute of Network Cultures.
Vijayalakshmi, M., Desai, P., and Raikar, M. M. (2016). Packet tracer simulation tool as pedagogy to enhance learning of computer network concepts. In 2016 IEEE 4th International Conference on MOOCs, Innovation and Technology in Education (MITE), pages 71–76.
Yen, Y. R. (2014). Simulation-based training improves catering apprentices’ mise-enplace knowledge and procedure skills. In 2014 IEEE 14th International Conference on Advanced Learning Technologies, pages 240–241.
Zhang, T. and Li, X. (2014). Evaluating and analyzing the performance of rpl in contiki. Proceedings of the International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc), 2014.
Atzori, L., Iera, A., and Morabito, G. (2010). The internet of things: A survey. Computer Networks, 54(15):2787 – 2805.
Cristian, S., Georgian, A. F., Gabriel, P., Denisa, C. L., Nicoleta, A., and Constantin, P. D. (2023). Ioe simulation with cisco packet tracer. In 2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI), pages 01–06.
Dantas, Á. M. C., Viana, H., Abijaude, J., and Sobreira, P. (2018). Internet das coisas e aprendizagem colaborativa: Revisão sistemática da literatura. In Brazilian Symposium on Computers in Education (Simpósio Brasileiro de Informática na Educação-SBIE), volume 29, page 278.
De la Torre, R., Onggo, B. S., Corlu, C. G., Nogal, M., and Juan, A. A. (2021). The role of simulation and serious games in teaching concepts on circular economy and sustainable energy. Energies, 14(4):1138.
Dumitrache, C. G., Predusca, G., Circiumarescu, L. D., Angelescu, N., and Puchianu, D. C. (2017). Comparative study of rip, ospf and eigrp protocols using cisco packet tracer. In 2017 5th International Symposium on Electrical and Electronics Engineering (ISEEE), pages 1–6.
Facchinetti, G., Petrucci, G., Albanesi, B., De Marinis, M. G., and Piredda, M. (2023). Can smart home technologies help older adults manage their chronic condition? a systematic literature review. International Journal of Environmental Research and Public Health, 20(2):1205.
Giannelos, S., Borozan, S., Aunedi, M., Zhang, X., Ameli, H., Pudjianto, D., Konstantelos, I., and Strbac, G. (2023). Modelling smart grid technologies in optimisation problems for electricity grids. Energies, 16(13):5088.
Gwangwava, N., Mubvirwi, T. B., et al. (2021). Design and simulation of iot systems using the cisco packet tracer. Advances in Internet of Things, 11(02):59.
Korman, T. M. and Johnston, H. (2013). Using game-based learning and simulations to enhance engineering and management education. In 2013 IEEE Frontiers in Education Conference (FIE), pages 701–703.
Koshariya, A. K., Kalaiyarasi, D., Jovith, A. A., Sivakami, T., Hasan, D. S., and Boopathi, S. (2023). Ai-enabled iot and wsn-integrated smart agriculture system. In Artificial Intelligence Tools and Technologies for Smart Farming and Agriculture Practices, pages 200–218. IGI Global.
Lei, Y.-Y., Zhu, L., Sa, Y. T. R., and Cui, X.-S. (2022). Effects of high-fidelity simulation teaching on nursing students’ knowledge, professional skills and clinical ability: A meta-analysis and systematic review. Nurse education in practice, 60:103306.
Lin, J., Yu, W., Zhang, N., Yang, X., Zhang, H., and Zhao, W. (2017). A survey on internet of things: Architecture, enabling technologies, security and privacy, and applications. IEEE Internet of Things Journal, 4(5):1125–1142.
Moz, S. H., Hosen, M. A., and Tanny, N. F. I. (2023). Campus network configuration, monitoring and data flow simulation using cisco packet tracer. In 2023 International Conference on Inventive Computation Technologies (ICICT), pages 793–798. IEEE.
Obelovska, K., Kozak, I., and Snaichuk, Y. (2022). Analysis and comparison of routing and switching processes in campus area networks using cisco packet tracer. In The International Symposium on Computer Science, Digital Economy and Intelligent Systems, pages 100–110. Springer.
Pandiyan, P., Saravanan, S., Usha, K., Kannadasan, R., Alsharif, M. H., and Kim, M.-K. (2023). Technological advancements toward smart energy management in smart cities. Energy Reports, 10:648–677.
Santos, M. R. P., Andrade, R. M. C., Gomes, D. G., and Callado, A. C. (2018). An efficient approach for device identification and traffic classification in iot ecosystems. In 2018 IEEE Symposium on Computers and Communications (ISCC), pages 00304–00309.
Stanley, T., Chetty, V., Styles, M., Jung, S.-Y., Duarte, F., Lee, T.-W. J., Gunter, M., and Fife, L. (2012). Teaching computer architecture through simulation: (a brief evaluation of cpu simulators). J. Comput. Sci. Coll., 27(4):37–44.
van Kranenburg, R. and Dodson, S. (2008). The Internet of Things: A Critique of Ambient Technology and the All-seeing Network of RFID. Network notebooks. Institute of Network Cultures.
Vijayalakshmi, M., Desai, P., and Raikar, M. M. (2016). Packet tracer simulation tool as pedagogy to enhance learning of computer network concepts. In 2016 IEEE 4th International Conference on MOOCs, Innovation and Technology in Education (MITE), pages 71–76.
Yen, Y. R. (2014). Simulation-based training improves catering apprentices’ mise-enplace knowledge and procedure skills. In 2014 IEEE 14th International Conference on Advanced Learning Technologies, pages 240–241.
Zhang, T. and Li, X. (2014). Evaluating and analyzing the performance of rpl in contiki. Proceedings of the International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc), 2014.
Publicado
21/07/2024
Como Citar
SANTOS, Matias R. P. dos; CALLADO, Arthur de Castro; LAURINDO, Luis Eduardo C..
Enhancing Internet of Things conceptual, practical and programming learning skills. In: WORKSHOP SOBRE EDUCAÇÃO EM COMPUTAÇÃO (WEI), 32. , 2024, Brasília/DF.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2024
.
p. 431-442.
ISSN 2595-6175.
DOI: https://doi.org/10.5753/wei.2024.1944.