Auer, M.E., & Zutin, D.G. (2018). Online Engineering & Internet of Things. Proceedings of the 14th International Conference on Remote Engineering and Virtual Instrumentation REV 2017, held 15–17 March 2017, Columbia University, New York, USA. Springer.
DOI: https://doi.org/10.1007/978-3-319-64352-6
AWS. (n.d.). Amazon Web Services. Retrieved March 18, 2021 from https://aws.amazon.com/es/what-is-aws
AWS Kinesis. (n.d.). Amazon Web Services. Retrieved March 18, 2021 from https://aws.amazon.com/es/kinesis
AWS Device Shadow. (n.d.). Amazon Web Services. Retrieved March 18, 2021 from https://docs.aws.amazon.com/es_es/iot/latest/developerguide/iot-device-shadows.html
AWS DynamoDB. (n.d.). Amazon Web Services. Retrieved March 18, 2021 from https://aws.amazon.com/es/dynamodb
AWS IoT Core. (n.d.). Amazon Web Services. Retrieved March 18, 2021 from https://aws.amazon.com/es/iot-core/
Beningo, B.J. (2015). Bootloader design for MCUs in Embedded Systems, Rev A2. Beningo Engineering.
Chang, K.C., Chu, K.C., Wang, H.C., Lin, Y.C., & Pan, J.S. (2020). Agent-based middleware framework using distributed CPS for improving resource utilization in smart city. Future Generation Computer Systems, 108, 445–453. https://doi.org/10.1016/j.future.2020.03.006
DOI: https://doi.org/10.1016/j.future.2020.03.006
DocIRS Document Information Retrieval Systems. (n.d.). DocIRS Technology. Retrieved March 18, 2021 from https://www.docirs.cl
Guha Roy, D., Mahato, B., De, D., & Buyya, R. (2018). Application-aware end-to-end delay and message loss estimation in Internet of Things (IoT) — MQTT-SN protocols. Future Generation Computer Systems, 89, 300–316. https://doi.org/10.1016/j.future.2018.06.040
DOI: https://doi.org/10.1016/j.future.2018.06.040
Guth, J., Breitenbücher, U., Falkenthal, M., Fremantle, P., Kopp, O., Leymann, F., & Reinfurt, L. (2018). A Detailed Analysis of IoT Platform Architectures: Concepts, Similarities, and Differences. In B. Di Martino, K.C. Li, L. Yang, A. Esposito (Eds.), Internet of Everything. Internet of Things (Technology, Communications and Computing) (pp. 81–101). Springer. https://doi.org/10.1007/978-981-10-5861-5_4
DOI: https://doi.org/10.1007/978-981-10-5861-5_4
Imtiaz Jaya, N., & Hossain, M.F. (2019). A Prototype Air Flow Control System for Home Automation Using MQTT over Websocket in AWS IoT Core. In Proceedings – 2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2018 (pp. 111–117). IEEE. https://doi.org/10.1109/CyberC.2018.00032
DOI: https://doi.org/10.1109/CyberC.2018.00032
Kim, Y., Lee, N., Kim, B., & Shin, K. (2019). Realization of IoT based fish farm control using mobile app. In Proceedings - 2018 International Symposium on Computer, Consumer and Control (pp. 189–192). IEEE. https://doi.org/10.1109/IS3C.2018.00055
DOI: https://doi.org/10.1109/IS3C.2018.00055
Mullapudi, R.K., Mallika, G., Nikitha, K., & Bhanu Sree, M. (2020). Weather Monitoring using AWS Cloud Computing. International Journal of Advance Research and Innovation, 8(2), 205–208.
DOI: https://doi.org/10.51976/ijari.822019
Muñoz Carrasco, J., & Garrido Márquez, D. (2018). IoT home automation application using Android Things. https://riuma.uma.es/xmlui/bitstream/handle/10630/17551/Mu%C3%B1oz%20Carrasco%2C%20Juan%20Memoria.pdf?sequence=1&isAllowed=y
Parres-Peredo, A., Piza-Davila, I., & Cervantes, F. (2019). Building and evaluating user network profiles for cybersecurity using serverless architecture. In 2019 42nd International Conference on Telecommunications and Signal Processing, TSP 2019 (pp. 164–167). IEEE. https://doi.org/10.1109/TSP.2019.8768825
DOI: https://doi.org/10.1109/TSP.2019.8768825
Quadri, N.S., & Yadav, K. (2018). Efficient Data Classification for IoT Devices using AWS Kinesis Platform. In 21st Saudi Computer Society National Computer Conference, NCC 2018 (pp. 1–5). IEEE. https://doi.org/10.1109/NCG.2018.8593105
DOI: https://doi.org/10.1109/NCG.2018.8593105
Salazar, J., & Silvestre, Y. S. (n.d.). Internet de las cosas. https://core.ac.uk/download/pdf/81581111.pdf
Tsai, M.H., Hsu, Y.C., & Lo, N.W. (2020). An Efficient Blockchain-based Firmware Update Framework for IoT Environment. In Proceedings - 2020 15th Asia Joint Conference on Information Security, AsiaJCIS 2020 (pp. 121–127). IEEE. https://doi.org/10.1109/AsiaJCIS50894.2020.00030
DOI: https://doi.org/10.1109/AsiaJCIS50894.2020.00030
Villamil, X., & Guarda, T. (2019). Mobile application developed with agile methodology for IoT controlled from a LAN / WAN network with a free hardware development board (Arduino). Iberian Journal of Information Systems and Technologies, 17, 379–392.
Wasoontarajaroen, S., Pawasan, K., & Chamnanphrai, V. (2017). Development of an IoT device for monitoring electrical energy consumption. In 2017 9th International Conference on Information Technology and Electrical Engineering, ICITEE 2017 (pp. 1–4). IEEE. https://doi.org/10.1109/ICITEED.2017.8250475
DOI: https://doi.org/10.1109/ICITEED.2017.8250475
Wu, P., Liu, D., Wang, J., Yuan, B., & Kuang, W. (2020). Detection of Fake IoT App Based on Multidimensional Similarity. IEEE Internet of Things Journal, 7(8), 7021–7031. https://doi.org/10.1109/JIOT.2020.2981693
DOI: https://doi.org/10.1109/JIOT.2020.2981693