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The use of the Amazon Web Services cloud enables new functionalities that are not possible with traditional solutions: low latency, local data processing and storage, and direct connectivity to other cloud services. Reimagining the way IoT connectivity services are presented by combining AWS cloud technology with mobile connectivity offers rapid prototyping to help connect devices natively over Wi-Fi. For this, the MQTT communication protocol is used to interact with the IoT device and exchange data, which allows controlling the basic functions of a sensor node. The installation is realized through a software development kit (SDK), which allows the creation of an application for Android devices. This solution gives the option to integrate together, improving the connectivity of the IoT system. The results enable board logging and network configuration, and can also be used to control the IoT device. The embedded firmware provides the required security functions.
Czasopismo
Rocznik
Tom
Strony
14--27
Opis fizyczny
Bibliogr. 22 poz., fig., tab.
Twórcy
autor
- Computer Systems Department, TecNM/Campus Apizaco Tlaxcala, Mexico
autor
- Computer Systems Department, TecNM/Campus Apizaco Tlaxcala, Mexico
autor
- Computer Systems Department, TecNM/Campus Apizaco Tlaxcala, Mexico
autor
- Computer Systems Department, TecNM/Campus Apizaco Tlaxcala, Mexico
autor
- Computer Systems Department, TecNM/Campus Apizaco Tlaxcala, Mexico
autor
- Microside Technology, Software Development Department, Tlaxcala de Xicohténcatl, México
Bibliografia
- [1] 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.
- [2] AWS. (n.d.). Amazon Web Services. Retrieved March 18, 2021 from https://aws.amazon.com/es/what-is-aws
- [3] AWS Kinesis. (n.d.). Amazon Web Services. Retrieved March 18, 2021 from https://aws.amazon.com/es/kinesis
- [4] 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
- [5] AWS DynamoDB. (n.d.). Amazon Web Services. Retrieved March 18, 2021 from https://aws.amazon.com/es/dynamodb
- [6] AWS IoT Core. (n.d.). Amazon Web Services. Retrieved March 18, 2021 from https://aws.amazon.com/es/iot-core/
- [7] Beningo, B.J. (2015). Bootloader design for MCUs in Embedded Systems, Rev A2. Beningo Engineering.
- [8] 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
- [9] DocIRS Document Information Retrieval Systems. (n.d.). DocIRS Technology. Retrieved March 18, 2021 from https://www.docirs.cl
- [10] 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
- [11] 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
- [12] 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
- [13] 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
- [14] 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.
- [15] 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
- [16] 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
- [17] 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
- [18] Salazar, J., & Silvestre, Y. S. (n.d.). Internet de las cosas. https://core.ac.uk/download/pdf/81581111.pdf
- [19] 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
- [20] 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.
- [21] 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
- [22] 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
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-06bf53fe-5e49-4771-9c3c-da51c7774f21